diff --git a/bmtk/analyzer/firing_rates.py b/bmtk/analyzer/firing_rates.py index 3c7cdcbcc..2437241e6 100644 --- a/bmtk/analyzer/firing_rates.py +++ b/bmtk/analyzer/firing_rates.py @@ -23,6 +23,10 @@ import pandas as pd import numpy as np import matplotlib.pyplot as plt +from pathlib import Path +import h5py + +from bmtk.utils.sonata.config import SonataConfig def convert_rates(rates_file): @@ -87,3 +91,83 @@ def plot_rates_popnet(cell_models_file, rates_file, model_keys=None, save_as=Non if show_plot: plt.show() + + +def plot_rates(config_file=None, rates_files=None, population=None, times=None, label_column='node_id', title=None, show=True, + save_as=None, group_by=None, group_excludes=None, + nodes_file=None, node_types_file=None, plt_style=None): + + def is_hdf5(file_path): + try: + h5py.File(file_path, 'r') + return True + except Exception: + return False + + def is_csv(file_path): + try: + pd.read_csv(file_path) + return True + except Exception: + return False + + + sonata_config = SonataConfig.from_json(config_file) if config_file else None + + rates_paths = set() + if isinstance(rates_files, (list, tuple, pd.Series)): + rates_paths.update([Path(rf).absolute() for rf in rates_files]) + elif rates_files is not None: + rates_paths.add(Path(rates_files)) + + if sonata_config is not None: + for k in ['rates_file', 'rates_file_csv', 'rates_file_h5']: + if k in sonata_config.output: + rates_paths.add(Path(sonata_config.get('output', {}).get('output_dir', '.')) / Path(sonata_config.output[k])) + break + + fig, ax = plt.subplots(1, 1) + for rpath in rates_paths: + if is_csv(rpath): + rates_df = pd.read_csv(rpath, sep=' ') + for (population, node_id), subdf in rates_df.groupby(['population', 'node_id']): + times = subdf['timestamps'].values + frs = subdf['firing_rates'].values + + if label_column == 'population': + label = population + elif label_column == 'node_id': + label = node_id + elif label_column in subdf.columns: + label = subdf[label_column].iloc[0] + else: + label = '' + + ax.plot(times, frs, label=label) + + elif is_hdf5(rpath): + with h5py.File(rpath, 'r') as h5: + for population, popgrp in h5['/rates'].items(): + times = popgrp['mapping/time'][()] + node_ids = popgrp['mapping/node_ids'][()] + + if label_column == 'population': + labels = [population]*len(node_ids) + elif label_column == 'node_id': + labels = node_ids + elif label_column in popgrp['mapping']: + labels = popgrp['mapping'][label_column][()].astype(str) + else: + labels = ['']*len(node_ids) + + for idx, node_id in enumerate(node_ids): + frs = popgrp['data'][:, idx] + ax.plot(times, frs, label=labels[idx]) + + + ax.legend() + ax.set_ylabel('firing rates (Hz)') + ax.set_xlabel('times (ms)') + + if show: + plt.show() \ No newline at end of file diff --git a/bmtk/simulator/core/node_sets.py b/bmtk/simulator/core/node_sets.py index 2c6140aa2..a2ef6e1ac 100644 --- a/bmtk/simulator/core/node_sets.py +++ b/bmtk/simulator/core/node_sets.py @@ -57,6 +57,9 @@ def fetch_nodes(self): for node in pop.filter(self._filter): yield node + def __len__(self) -> int: + return len(self.node_ids) + class NodeSetAll(NodeSet): def __init__(self, network): diff --git a/bmtk/simulator/core/sonata_reader/node_adaptor.py b/bmtk/simulator/core/sonata_reader/node_adaptor.py index 52428e791..864ebaea5 100644 --- a/bmtk/simulator/core/sonata_reader/node_adaptor.py +++ b/bmtk/simulator/core/sonata_reader/node_adaptor.py @@ -145,7 +145,7 @@ def preprocess_node_types(network, node_population): params_dir = network.get_component('point_neuron_models_dir') elif model_type == 'point_soma': params_dir = network.get_component('point_neuron_models_dir') - elif model_type == 'population': + elif model_type in ['population', 'rate_population']: params_dir = network.get_component('population_models_dir') elif model_type == 'lgnmodel' or model_type == 'virtual': params_dir = network.get_component('filter_models_dir') diff --git a/bmtk/simulator/popnet/__init__.py b/bmtk/simulator/popnet/__init__.py index 7b591caa8..428c0b57a 100644 --- a/bmtk/simulator/popnet/__init__.py +++ b/bmtk/simulator/popnet/__init__.py @@ -20,6 +20,47 @@ # WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # -from .popnetwork import PopNetwork -from .popsimulator import PopSimulator +from six import string_types + +from bmtk.simulator.core.simulation_config import SimulationConfig +from bmtk.simulator.core.io_tools import io from .config import Config +from .ssn import inputs_generator, init_function, activation_function + + +class PopNetwork: + @staticmethod + def from_config(conf, **properties): + if isinstance(conf, SimulationConfig): + config = conf + else: + try: + config = SimulationConfig.load(conf) + except Exception as e: + io.log_exception('Could not convert {} (type "{}") to json.'.format(conf, type(conf))) + + if config.target_simulator is None: + io.log_debug('Unspecified PopNet "target_simulator", defaulting to SSN (Options: SSN, DiPDE)') + elif config.target_simulator.lower() == 'dipde': + from .dipde import PopNetwork + return PopNetwork.from_config(config, **properties) + elif config.target_simulator.lower() == 'ssn': + from .ssn import PopNetwork + return PopNetwork.from_config(config, **properties) + else: + io.log_exception(f'Unrecognized PopNet target_simulator "{config.target_simulator}') + + +class PopSimulator: + @staticmethod + def from_config(configure, network, **properties): + if network.target_simulator is None: + io.log_debug('Unspecified PopNet "target_simulator", defaulting to SSN (Options: SSN, DiPDE)') + elif network.target_simulator.lower() == 'dipde': + from .dipde import PopSimulator + return PopSimulator.from_config(configure, network, **properties) + elif network.target_simulator.lower() == 'ssn': + from .ssn import PopSimulator + return PopSimulator.from_config(configure, network, **properties) + else: + io.log_exception(f'Unrecognized PopNet target_simulator "{config.target_simulator}') diff --git a/bmtk/simulator/popnet/config.py b/bmtk/simulator/popnet/config.py index 8822bc637..b9d470d27 100644 --- a/bmtk/simulator/popnet/config.py +++ b/bmtk/simulator/popnet/config.py @@ -30,4 +30,4 @@ def from_json(config_file, validate=False): class Config(SimulationConfig): - pass \ No newline at end of file + pass diff --git a/bmtk/simulator/popnet/dipde/__init__.py b/bmtk/simulator/popnet/dipde/__init__.py new file mode 100644 index 000000000..dafcad7d2 --- /dev/null +++ b/bmtk/simulator/popnet/dipde/__init__.py @@ -0,0 +1,25 @@ +# Copyright 2017. Allen Institute. All rights reserved +# +# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the +# following conditions are met: +# +# 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following +# disclaimer. +# +# 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following +# disclaimer in the documentation and/or other materials provided with the distribution. +# +# 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote +# products derived from this software without specific prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, +# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, +# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +# +from .popnetwork import PopNetwork +from .popsimulator import PopSimulator +from ..config import Config diff --git a/bmtk/simulator/popnet/popedge.py b/bmtk/simulator/popnet/dipde/popedge.py similarity index 100% rename from bmtk/simulator/popnet/popedge.py rename to bmtk/simulator/popnet/dipde/popedge.py diff --git a/bmtk/simulator/popnet/popnetwork.py b/bmtk/simulator/popnet/dipde/popnetwork.py similarity index 98% rename from bmtk/simulator/popnet/popnetwork.py rename to bmtk/simulator/popnet/dipde/popnetwork.py index 7ee57b520..e062144b6 100644 --- a/bmtk/simulator/popnet/popnetwork.py +++ b/bmtk/simulator/popnet/dipde/popnetwork.py @@ -25,8 +25,8 @@ import numpy as np from bmtk.simulator.core.simulator_network import SimNetwork -from bmtk.simulator.popnet import utils as poputils -from bmtk.simulator.popnet.sonata_adaptors import PopEdgeAdaptor +from bmtk.simulator.popnet.dipde import utils as poputils +from bmtk.simulator.popnet.dipde.sonata_adaptors import PopEdgeAdaptor from dipde.internals.internalpopulation import InternalPopulation from dipde.internals.externalpopulation import ExternalPopulation @@ -162,6 +162,10 @@ def __init__(self, group_by='node_type_id', **properties): self._external_connections = {} self._all_connections = [] + @property + def target_simulator(self): + return 'DiPDE' + @property def populations(self): return self._all_populations diff --git a/bmtk/simulator/popnet/popnode.py b/bmtk/simulator/popnet/dipde/popnode.py similarity index 100% rename from bmtk/simulator/popnet/popnode.py rename to bmtk/simulator/popnet/dipde/popnode.py diff --git a/bmtk/simulator/popnet/popsimulator.py b/bmtk/simulator/popnet/dipde/popsimulator.py similarity index 97% rename from bmtk/simulator/popnet/popsimulator.py rename to bmtk/simulator/popnet/dipde/popsimulator.py index 8792beafe..6875c9f22 100644 --- a/bmtk/simulator/popnet/popsimulator.py +++ b/bmtk/simulator/popnet/dipde/popsimulator.py @@ -30,13 +30,21 @@ import dipde from bmtk.simulator.core.simulator import Simulator -from . import config as cfg +# from bmtk. import config as cfg +from bmtk.simulator.core.simulation_config import SimulationConfig +from bmtk.simulator.core.io_tools import io from . import utils as poputils import bmtk.simulator.utils.simulation_inputs as inputs from bmtk.utils.reports.spike_trains import SpikeTrains from bmtk.utils.io import firing_rates +def from_json(config_file, validate=False): + conf_dict = SimulationConfig.from_json(config_file) + conf_dict.io = io + return conf_dict + + class PopSimulator(Simulator): def __init__(self, graph, dt=0.0001, tstop=0.0, overwrite=True): self._graph = graph diff --git a/bmtk/simulator/popnet/sonata_adaptors.py b/bmtk/simulator/popnet/dipde/sonata_adaptors.py similarity index 100% rename from bmtk/simulator/popnet/sonata_adaptors.py rename to bmtk/simulator/popnet/dipde/sonata_adaptors.py diff --git a/bmtk/simulator/popnet/utils.py b/bmtk/simulator/popnet/dipde/utils.py similarity index 100% rename from bmtk/simulator/popnet/utils.py rename to bmtk/simulator/popnet/dipde/utils.py diff --git a/bmtk/simulator/popnet/ssn/__init__.py b/bmtk/simulator/popnet/ssn/__init__.py new file mode 100644 index 000000000..9e7f7646e --- /dev/null +++ b/bmtk/simulator/popnet/ssn/__init__.py @@ -0,0 +1,28 @@ +# Copyright 2025. Allen Institute. All rights reserved +# +# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the +# following conditions are met: +# +# 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following +# disclaimer. +# +# 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following +# disclaimer in the documentation and/or other materials provided with the distribution. +# +# 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote +# products derived from this software without specific prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, +# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, +# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +# +from .popnetwork import PopNetwork +from .popsimulator import PopSimulator +from .pyfunction_cache import inputs_generator, init_function, activation_function, add_activation_function + +from bmtk.simulator.core.simulation_config import SimulationConfig as Config +# from .config import Config diff --git a/bmtk/simulator/popnet/ssn/default_setters/__init__.py b/bmtk/simulator/popnet/ssn/default_setters/__init__.py new file mode 100644 index 000000000..ddc2fbd95 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/default_setters/__init__.py @@ -0,0 +1 @@ +from . import activation_functions diff --git a/bmtk/simulator/popnet/ssn/default_setters/activation_functions.py b/bmtk/simulator/popnet/ssn/default_setters/activation_functions.py new file mode 100644 index 000000000..69e45afd9 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/default_setters/activation_functions.py @@ -0,0 +1,22 @@ +from bmtk.simulator.popnet.ssn.pyfunction_cache import add_activation_function + +try: + from numba import njit + +except ImportError as ie: + from bmtk.simulator.popnet.ssn.utils import empty_decorator + njit = empty_decorator + + +@njit +def relu2(array): + # if the element is negative, set it to zero using loop + # destructive method (alters the original array), but faster than the above one. + for i in range(len(array)): + if array[i] < 0: + array[i] = 0 + return array + + +add_activation_function(relu2, name='default', overwrite=False) +add_activation_function(relu2, overwrite=False) diff --git a/bmtk/simulator/popnet/ssn/modules/__init__.py b/bmtk/simulator/popnet/ssn/modules/__init__.py new file mode 100644 index 000000000..12141cceb --- /dev/null +++ b/bmtk/simulator/popnet/ssn/modules/__init__.py @@ -0,0 +1,3 @@ +from .initial_states import InitStatesMod +from .rates_recorder import RatesRecorderMod +from .external_inputs import ExternalRatesMod \ No newline at end of file diff --git a/bmtk/simulator/popnet/ssn/modules/external_inputs.py b/bmtk/simulator/popnet/ssn/modules/external_inputs.py new file mode 100644 index 000000000..40b0080a0 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/modules/external_inputs.py @@ -0,0 +1,87 @@ +import numpy as np +import pandas as pd +import h5py + +from ..pyfunction_cache import py_modules +from .sim_module import SimulatorMod + + +class ExternalRatesMod(SimulatorMod): + def __init__(self, name, input_type, module, **kwargs): + self._name = name + self._input_type = input_type + self._module = module + self._params = kwargs + + def initialize(self, sim): + if self._module == 'npy': + npy_path = self._params['file'] + inputs_arr = np.load(npy_path) + + if sim.tstop is None: + # TODO: WARNING THAT TSTOP IS BEING SET BY INPUT + sim.tstop = len(inputs_arr)*sim.dt + + if sim.nsteps < len(inputs_arr): + # TODO: WARN THAT input is being cut + inputs_arr = inputs_arr[:sim.nsteps] + + elif sim.nsteps > len(inputs_arr): + # GIVE WARNING + inputs_arr = np.append(inputs_arr, np.zeros(sim.nsteps - len(inputs_arr))) + + node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + + for node in node_set.fetch_nodes(): + ssn_node = sim.network.get_node(node.population_name, node.node_id) + ssn_node.external_inputs = inputs_arr.flatten() + + + elif self._module == 'function': + fnc_name = self._params['inputs_generator'] + generator_fnc = py_modules.user_function(fnc_name) + + node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + for node in node_set.fetch_nodes(): + ssn_node = sim.network.get_node(node.population_name, node.node_id) + external_inputs = generator_fnc(ssn_node, sim) + ssn_node.external_inputs = external_inputs + + if sim.tstop is None: + # TODO: WARNING THAT TSTOP IS BEING SET BY INPUT + sim.tstop = len(external_inputs)*sim.dt + + elif self._module == 'csv': + # TODO: Check Timestamps match, line up if needed + rates_df = pd.read_csv(self._params['file'], sep=self._params.get('sep', ' ')) + node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + for node in node_set.fetch_nodes(): + ssn_node = sim.network.get_node(node.population_name, node.node_id) + + # TODO: Check that node exists in file + inputs = rates_df[(rates_df['node_id'] == ssn_node.node_id) & (rates_df['population'] == ssn_node.population)]['firing_rates'] + if len(inputs) > 0: + ssn_node.external_inputs = inputs + + if sim.tstop is None: + # TODO: WARNING THAT TSTOP IS BEING SET BY INPUT + sim.tstop = len(inputs)*sim.dt + + elif self._module in ['h5', 'sonata']: + with h5py.File(self._params['file'], 'r') as h5: + ratesgrp = h5['/rates'] + node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + for node in node_set.fetch_nodes(): + ssn_node = sim.network.get_node(node.population_name, node.node_id) + + node_id_map = ratesgrp[f'{ssn_node.population}/mapping/node_ids'][()] + idx = np.argwhere(node_id_map == ssn_node.node_id)[0][0] + inputs = ratesgrp[f'{ssn_node.population}/data'][:, idx] + + ssn_node.external_inputs = inputs + + if sim.tstop is None: + # TODO: WARNING THAT TSTOP IS BEING SET BY INPUT + sim.tstop = len(inputs)*sim.dt + else: + raise ValueError('Unknown module') diff --git a/bmtk/simulator/popnet/ssn/modules/initial_states.py b/bmtk/simulator/popnet/ssn/modules/initial_states.py new file mode 100644 index 000000000..d140b4cfe --- /dev/null +++ b/bmtk/simulator/popnet/ssn/modules/initial_states.py @@ -0,0 +1,111 @@ +import pandas as pd +import numpy as np + +from ..pyfunction_cache import py_modules +from .sim_module import SimulatorMod + + +class InitStatesMod(SimulatorMod): + def __init__(self, name, input_type, module, **kwargs): + self._name = name + self._input_type = input_type + self._module = module + self._params = kwargs + + def initialize(self, sim): + # node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + + if self._module == 'csv': + self.from_csv(sim) + elif self._module == 'constant': + self.from_pregenerated(sim, itype='const') + elif self._module == 'random': + self.from_pregenerated(sim, itype='random') + elif self._module == 'list': + self.from_pregenerated(sim, itype='list') + elif self._module == 'function': + self.from_user_function(sim) + else: + raise ValueError(f'{self.__name__}: Error in {self._name} input module, no valid module [options: csv, constant, random, function]') + + def from_user_function(self, sim): + fnc_name = self._params['init_function'] + generator_fnc = py_modules.user_function(fnc_name) + + node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + for node in node_set.fetch_nodes(): + ssn_node = sim.network.get_node(node.population_name, node.node_id) + init_val = generator_fnc(ssn_node, sim) + ssn_node.initial_value = init_val + + def from_csv(self, sim): + csv_path = self._params['file'] + sep = self._params.get('sep', ' ') + index_col = self._params.get('index_col', 'node_id') + value_col = self._params.get('value_col', 'initial_state') + strict_mapping = self._params.get('strict_mapping', False) + + init_df = pd.read_csv(csv_path, sep=sep).set_index(index_col) + + node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + for node in node_set.fetch_nodes(): + ssn_node = sim.network.get_node(node.population_name, node.node_id) + if ssn_node.node_id not in init_df.index: + if strict_mapping: + raise Exception('COULD NOT FIND APPROPRIATE ID IN CSV') + else: + # TODO: warning message + pass + else: + ssn_node.initial_value = init_df.loc[ssn_node.node_id][value_col] + + def from_pregenerated(self, sim, itype): + node_set = sim.network.get_node_set(self._params.get('node_set', 'all')) + nsize = len(node_set) + + if itype == 'const': + init_states = [self._params['initial_state']]*nsize + + if itype == 'list': + init_states = self._params['initial_states'] + if len(init_states) != nsize: + raise Exception('SIZE OF LIST DOES NOT MATCH NUMBER OF NODES') + + if self._params.get('shuffle', False): + np.random.shuffle(init_states) + + elif itype == 'random': + dist = self._params['distribution'] + if dist == 'uniform': + init_states = np.random.uniform( + low=self._params.get('low', 0.0), + high=self._params.get('high', 1.0), + size=nsize + ) + elif dist == 'normal': + init_states = np.random.normal( + loc=self._params.get('mean', 0.0), + scale=self._params.get('std', 1.0), + size=nsize + ) + elif dist == 'poisson': + init_states = np.random.poisson( + lam=self._params.get('lambda', 1.0), + size=nsize + ) + elif dist == 'lognormal': + init_states = np.random.lognormal( + mean=self._params.get('mean', 0.0), + sigma=self._params.get('sigma', 1.0), + size=nsize + ) + else: + raise Exception("AAAA") + + for idx, node in enumerate(node_set.fetch_nodes()): + ssn_node = sim.network.get_node(node.population_name, node.node_id) + ssn_node.initial_value = init_states[idx] + + # def finalize(self, sim): + # pass + diff --git a/bmtk/simulator/popnet/ssn/modules/rates_recorder.py b/bmtk/simulator/popnet/ssn/modules/rates_recorder.py new file mode 100644 index 000000000..9168a9a04 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/modules/rates_recorder.py @@ -0,0 +1,101 @@ +from pathlib import Path +import h5py +import pandas as pd +import numpy as np + +from .sim_module import SimulatorMod +from bmtk.simulator.core.io_tools import io + + +class RatesRecorderMod(SimulatorMod): + def __init__(self, name, output_type, module, file_name, **kwargs): + self._name = name + self._output_type = output_type + self._module = module + self._params = kwargs + self.file_name = file_name + self._output_dir = kwargs.get('output_dir', '.') + self._node_set = kwargs.get('cells', None) + + + self.file_path = Path(self.file_name) + if not self.file_path.is_absolute(): + self.file_path = (Path(self._output_dir) / self.file_path).absolute() + + if self._output_type not in ['csv', 'h5']: + raise ValueError(f'{self.__class__.__name__}: Invalid output_type "{self._output_type}". [Valid options: csv, h5]') + + self._include_columns = kwargs.get('include_columns', []) + self._include_columns = [self._include_columns] if not isinstance(self._include_columns, (list, tuple)) else self._include_columns + self._include_columns = [k for k in self._include_columns if k not in ['population', 'node_id', 'firing_rates', 'timestamps']] + + def finalize(self, sim): + if self._output_type == 'csv': + self._to_csv(sim) + elif self._output_type == 'h5': + self._to_hdf5(sim) + + def _get_nodes(self, sim): + if self._node_set is not None: + node_set = sim.network.get_node_set(self._node_set) + return [sim.network.get_node(n.population_name, n.node_id) for n in node_set.fetch_nodes()] + else: + return list(sim.network._ssn_recurrent_nodes) + + def _get_timestamps(self, sim): + return np.linspace(0.0, sim.tstop, num=sim.nsteps, endpoint=False) + + def _to_csv(self, sim): + + output_df = None + times = self._get_timestamps(sim) + ssn_nodes = self._get_nodes(sim) + + for node in ssn_nodes: + tmp_df = pd.DataFrame({ + 'population': node.population, + 'node_id': node.node_id, + 'timestamps': times, + 'firing_rates': sim.results[:, node.gid] + }) + + for c in self._include_columns: + tmp_df[c] = node.get(c, None) + + + output_df = tmp_df if output_df is None else pd.concat([output_df, tmp_df], ignore_index=True) + + if output_df is not None: + io.log_info(f'{self.__class__.__name__}: Saving rates to {self.file_path}.') + output_df.to_csv(self.file_path, sep=' ', index=False) + + + def _to_hdf5(self, sim): + mode = self._params.get('mode', 'a') + times = self._get_timestamps(sim) + nsteps = len(times) + ssn_nodes = self._get_nodes(sim) + mappings = {} + for n in ssn_nodes: + subpop = mappings.get(n.population, {k: [] for k in ['node_id', 'gid'] + self._include_columns}) + subpop['node_id'].append(n.node_id) + subpop['gid'].append(n.gid) + for c in self._include_columns: + subpop[c].append(n.get(c, None)) + + mappings[n.population] = subpop + + with h5py.File(self.file_path, mode) as h5: + io.log_info(f'{self.__class__.__name__}: Saving rates to {self.file_path}.') + ratesgrp = h5['rates'] if 'rates' in h5 else h5.create_group('rates') + for pop_name, pop_data in mappings.items(): + subgrp = ratesgrp.create_group(pop_name) + subgrp.create_dataset('mapping/time', data=times) + subgrp.create_dataset('mapping/node_ids', data=pop_data['node_id']) + for c in self._include_columns: + subgrp.create_dataset(f'mapping/{c}', data=pop_data[c]) + + data = subgrp.create_dataset('data', shape=(nsteps, len(pop_data['gid'])), dtype=float) + for col, gid in enumerate(pop_data['gid']): + data[:, col] = sim.results[:, gid] + diff --git a/bmtk/simulator/popnet/ssn/modules/sim_module.py b/bmtk/simulator/popnet/ssn/modules/sim_module.py new file mode 100644 index 000000000..57a8643d6 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/modules/sim_module.py @@ -0,0 +1,72 @@ +# Copyright 2025. Allen Institute. All rights reserved +# +# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the +# following conditions are met: +# +# 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following +# disclaimer. +# +# 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following +# disclaimer in the documentation and/or other materials provided with the distribution. +# +# 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote +# products derived from this software without specific prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, +# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, +# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +# +class SimulatorMod(object): + """Class for writing custom bionet functions that will be called during the simulation. To use overwrite one or + more of the following methods in a subclass, and bionet will call the function at the appropiate time. + + To call during a simulation: + ... + sim = Simulation(...) + mymod = MyModule(...) + sim.add_mod(mymod) + sim.run() + + """ + + def initialize(self, sim): + """Will be called once at the beginning of the simulation run, after the network and simulation parameters have + all been finalized. + + :param sim: Simulation object + """ + pass + + def step(self, sim, tstep): + """Called on every single time step (dt). + + The step method is used for anything that should be recorded or changed continously. dt is determined during + the setup, and the sim parameter can be used to access simulation, network and individual cell properties + + :param sim: Simulation object. + :param tstep: The decrete time-step + """ + pass + + def block(self, sim, block_interval): + """This method is called once after every block of time, as specified by the configuration. + + Unlike the step method which is called during every time-step, the block method will typically be called only a + few times over the entire simulation. The block method is preferable for accessing and saving to the disk, + summing up existing data, or similar functionality + + :param sim: Simulation object + :param block_interval: The time interval (tstep_start, tstep_end) for which the block is being called on. + """ + pass + + def finalize(self, sim): + """Call once at the very end of the simulation. + + :param sim: Simulation object + """ + pass diff --git a/bmtk/simulator/popnet/ssn/popnetwork.py b/bmtk/simulator/popnet/ssn/popnetwork.py new file mode 100644 index 000000000..3b6200574 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/popnetwork.py @@ -0,0 +1,193 @@ +import numpy as np + +from bmtk.simulator.core.simulator_network import SimNetwork +from .popnode import SSNNode + +class PopNetwork(SimNetwork): + def __init__(self, grouping_key='node_id', **opts): + super(PopNetwork, self).__init__() + # self.n_neu_total = 6 + self.grouping_key = grouping_key + + # self._pop_index = {} + + self._node_id_map = {} + + self._nnodes_recurrent = 0 + self._nnodes_external = 0 + + + self._scales = None + self._exponents = None + self._decay_constants = None + self._initial_states = None + + self._nodeid2grp = {} + self._nodes_idx = {} + self._ssn_recurrent_nodes = set() + self._ssn_external_nodes = set() + self.gids = 0 + + # Not the actual connection matrix used during sim, used for storing connections while building network + self._conn_mat = [] + + # The actual N x (N+M) connection matrix used during simulation, created before simulation begins + self._connectivity_mat = None + + # Keeps track if connection matrix needs to be rebuilt (mainly if new nodes/edges are added after a simulation) + self._conn_finalized = False + + @property + def network_finalized(self): + return self._conn_finalized + + @property + def target_simulator(self): + return 'SSN' + + @property + def n_neu_recurrent(self): + return self._nnodes_recurrent + + @property + def n_neu_total(self): + return self._nnodes_recurrent + self._nnodes_external + + @property + def connectivity_mat(self): + if self._connectivity_mat is None or not self._conn_finalized: + self._conn_finalized = True + self._connectivity_mat = np.zeros((self._nnodes_recurrent, self.n_neu_total), dtype=float) + for r, c, syn_w in self._conn_mat: + self._connectivity_mat[r, c] = syn_w + + return self._connectivity_mat + + @connectivity_mat.setter + def connectivity_mat(self, value): + self._connectivity_mat = value + self._conn_finalized = True + + @property + def scales(self): + if self._scales is None or not self._conn_finalized: + self._scales = np.zeros(self._nnodes_recurrent) + for n in self._ssn_recurrent_nodes: + self._scales[n.gid] = np.mean(n.scaling_coef) + + return self._scales + + @scales.setter + def scales(self, value): + self._scales = value + + @property + def initial_states(self): + if self._initial_states is None or not self._conn_finalized: + self._initial_states = np.zeros(self._nnodes_recurrent) + for n in self._ssn_recurrent_nodes: + self._initial_states[n.gid] = np.mean(n.initial_value) + + return self._initial_states + + @property + def exponents(self): + if self._exponents is None or not self._conn_finalized: + self._exponents = np.zeros(self._nnodes_recurrent) + for n in self._ssn_recurrent_nodes: + self._exponents[n.gid] = np.mean(n.exponent) + + return self._exponents + + @exponents.setter + def exponents(self, value): + self._exponents = value + + @property + def decay_constants(self): + if self._decay_constants is None or self._conn_finalized: + self._decay_constants = np.zeros(self._nnodes_recurrent) + for n in self._ssn_recurrent_nodes: + self._decay_constants[n.gid] = np.mean(n.decay_const) + + return self._decay_constants + + @decay_constants.setter + def decay_constants(self, value): + self._decay_constants = value + + def build_nodes(self): + for node_pop in self.node_populations: + for node in node_pop.get_nodes(): + model_type = node['model_type'].lower() + + if model_type in ['population', 'rate_population', 'recurrent']: + params = node.dynamics_params if node.dynamics_params is not None else {} + ssn_attrs = ['scaling_coef', 'initial_value', 'exponent', 'decay_const'] + for attr_name in ssn_attrs: + if attr_name in node: + params[attr_name] = node[attr_name] + + params['node'] = node + self.add_recurrent_node( + population_id=node_pop.name, + node_id=node['node_id'], + **params + ) + + elif model_type in ['external', 'virtual']: + self.add_external_node( + population_id=node_pop.name, + node_id=node[self.grouping_key], + node=node + ) + + def build_edges(self): + self._conn_finalized = False + for edge_pop in self._edge_populations: + for edge in edge_pop.get_edges(): + src_node = self._node_id_map[edge.source_population][int(edge.source_node_id)] + trg_node = self._node_id_map[edge.target_population][int(edge.target_node_id)] + + # TODO: Move to add_edge function + self._conn_mat.append([trg_node.gid, src_node.gid, edge['syn_weight']]) + + + def get_node(self, population_id, node_id): + return self._node_id_map[population_id][node_id] + + def get_ssn_node(self, population_id, node_id, **node_properties): + if population_id not in self._node_id_map: + ssn_node = SSNNode(population_id, node_id, gid=self.gids, **node_properties) + self._node_id_map[population_id] = {int(node_id): ssn_node} + self.gids += 1 + + elif int(node_id) not in self._node_id_map: + ssn_node = SSNNode(population_id, node_id, gid=self.gids, **node_properties) + self._node_id_map[population_id][int(node_id)] = ssn_node + self.gids += 1 + + else: + ssn_node = self._node_id_map[population_id][node_id] + + return ssn_node + + def add_recurrent_node(self, population_id, node_id, scaling_coef, exponent, decay_const, initial_value=0.0, **node_properties): + self._conn_finalized = False + self._nnodes_recurrent += 1 + + ssn_obj = self.get_ssn_node(population_id=population_id, node_id=node_id, **node_properties) + ssn_obj.type='internal' + # ssn_obj.input_offset.append(input_offset) + ssn_obj.scaling_coef.append(scaling_coef) + ssn_obj.exponent.append(exponent) + ssn_obj.decay_const.append(decay_const) + self._ssn_recurrent_nodes.add(ssn_obj) + + def add_external_node(self, population_id, node_id, **node_properties): + self._conn_finalized = False + self._nnodes_external += 1 + + ssn_obj = self.get_ssn_node(population_id=population_id, node_id=node_id, **node_properties) + ssn_obj.type = 'external' + self._ssn_external_nodes.add(ssn_obj) diff --git a/bmtk/simulator/popnet/ssn/popnode.py b/bmtk/simulator/popnet/ssn/popnode.py new file mode 100644 index 000000000..b2851e2e5 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/popnode.py @@ -0,0 +1,41 @@ + + +class SSNNode: + def __init__(self, population, node_id, gid, **node_properties): + self.population = population + self.node_id = node_id + self.gid = gid + + self.type = None + self.input_offset = [] + self.scaling_coef = [] + self.exponent = [] + self.decay_const = [] + self.init_value = 0.0 + self.external_inputs = None + self.node_properties = node_properties + self._sonata_node = self.node_properties.get('node', {}) + + def __contains__(self, property): + return property in self.node_properties or property in self._sonata_node + + def __getitem__(self, property): + if property in self.node_properties: + return self.node_properties[property] + elif property in self._sonata_node: + return self._sonata_node[property] + elif property in ['node_id', 'node_ids']: + return self.node_id + elif property in ['population', 'population_name']: + return self.population + else: + raise KeyError(f'{self.__class__.__name__} does not contain property "{property}"') + + def get(self, property, default=None): + if property in self: + return self[property] + else: + return default + + def __repr__(self) -> str: + return f'{self.__class__.__name__} {self.gid} > ({self.population}.{self.node_id})' \ No newline at end of file diff --git a/bmtk/simulator/popnet/ssn/popsimulator.py b/bmtk/simulator/popnet/ssn/popsimulator.py new file mode 100644 index 000000000..d2d4f2404 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/popsimulator.py @@ -0,0 +1,192 @@ +from six import string_types +import numpy as np + +import bmtk.simulator.utils.simulation_inputs as inputs +from .modules import InitStatesMod, ExternalRatesMod, RatesRecorderMod +from .pyfunction_cache import py_modules +from bmtk.simulator.core.io_tools import io +from bmtk.simulator.core.simulation_config import SimulationConfig as Config + +# TODO: leave this import, it will initialize some of the default functions for building neurons/synapses/weights. +import bmtk.simulator.popnet.ssn.default_setters + +try: + from numba import njit +except ImportError as ie: + from bmtk.simulator.popnet.ssn.utils import empty_decorator + njit = empty_decorator + +@njit +def step(activation_function, state, mat, scales, exponents, decay_constants, dt): + """ A function to compute one step of the network. + This function needs to be here so that run_njit can be compiled. + """ + + input = activation_function(np.dot(mat, state) * scales) ** exponents + n_neu_recurrent = mat.shape[0] + recurrent_state = state[:n_neu_recurrent] + dr = (-recurrent_state + input) / decay_constants * dt + return activation_function(recurrent_state + dr) + +@njit +def run_ssn(activation_function, results, connectivity_mat, scales, exponents, decay_constants, dt, nsteps, n_neu_recurrent): + """ + A function to run the whole simulation. + The results will be modified in place. + """ + for t in range(nsteps-1): + results[t+1, :n_neu_recurrent] = step( + activation_function, + results[t, :], + connectivity_mat, + scales, + exponents, + decay_constants, + dt, + ) + return + + +class PopSimulator: + def __init__(self, network, dt=1.0, tstart=0.0, tstop=None, **opts): + self.dt = dt + self.tstart = tstart + self.tstop = tstop + self.network = network + self._fr_results = None + self._mods = [] + self.activation_function = py_modules.activation_function('default') + + @property + def nsteps(self): + return int((self.tstop - self.tstart)/self.dt) + + @property + def results(self): + if self._fr_results is None: + self._fr_results = np.zeros((self.nsteps, self.network.n_neu_total), dtype=float) + self._fr_results[0, :self.network.n_neu_recurrent] = self.network.initial_states + + for ext_node in self.network._ssn_external_nodes: + if ext_node.external_inputs is not None: + self._fr_results[:, ext_node.gid] = ext_node.external_inputs + + return self._fr_results + + + def add_mod(self, mod): + mod.initialize(self) + self._mods.append(mod) + + + def run(self, return_output=False): + + activation_function = self.activation_function + if not return_output: + io.log_info('Running Simulation.') + + # self.results will be modified in place + run_ssn( + activation_function, + self.results, + self.network.connectivity_mat, + self.network.scales, + self.network.exponents, + self.network.decay_constants, + self.dt, + self.nsteps, + self.network.n_neu_recurrent, + ) + + if return_output: + return self.results + io.log_info('Simulation Finished.') + + for mod in self._mods: + mod.finalize(self) + + def set_activation_function(self, fnc): + self.activation_function = fnc + + @classmethod + def from_config(cls, configure, network, **opts): + # load the json file or object + if isinstance(configure, string_types): + config = Config.from_json(configure, validate=True) + elif isinstance(configure, dict): + config = configure + else: + raise Exception('Could not convert {} (type "{}") to json.'.format(configure, type(configure))) + + sim = cls(network, dt=config.dt, tstart=config.tstart, tstop=config.tstop, **opts) + + act_fnc_sig = config.run.get('activation_function', None) + if act_fnc_sig: + if act_fnc_sig not in py_modules.activation_functions: + io.log_error(f'Could not find activation fucntion with signature {act_fnc_sig} registered to PopNet') + else: + io.log_debug(f'Setting simulation activation function to {act_fnc_sig}') + sim.set_activation_function(py_modules.activation_function(act_fnc_sig)) + + + network.io.log_info('Building nodes.') + network.build_nodes() + + network.io.log_info('Building connections.') + network.build_edges() + + for sim_input in inputs.from_config(config): + if sim_input.input_type == 'init_states': + mod = InitStatesMod( + name=sim_input.name, + input_type=sim_input.input_type, + module=sim_input.module, + **sim_input.params + ) + network.io.log_info(f'Add input module "{sim_input.name}"') + sim.add_mod(mod) + + elif sim_input.input_type == 'external_rates': + mod = ExternalRatesMod( + name=sim_input.name, + input_type=sim_input.input_type, + module=sim_input.module, + **sim_input.params + ) + network.io.log_info(f'Add input module "{sim_input.name}"') + sim.add_mod(mod) + + else: + network.io.log_info(f'Unknown input module "{sim_input.name}" (module={sim_input.module})') + + if 'rates_file' in config.output: + mod = RatesRecorderMod( + name='RecordRatesH5', + module='rates', + output_type='csv', + file_name=config.output['rates_file'], + **config.output + ) + sim.add_mod(mod) + + if 'rates_file_csv' in config.output: + mod = RatesRecorderMod( + name='RecordRatesH5', + module='rates', + output_type='csv', + file_name=config.output['rates_file_csv'], + **config.output + ) + sim.add_mod(mod) + + if 'rates_file_h5' in config.output: + mod = RatesRecorderMod( + name='RecordRatesH5', + module='rates', + output_type='h5', + file_name=config.output['rates_file_h5'], + **config.output + ) + sim.add_mod(mod) + + return sim diff --git a/bmtk/simulator/popnet/ssn/pyfunction_cache.py b/bmtk/simulator/popnet/ssn/pyfunction_cache.py new file mode 100644 index 000000000..701b648b0 --- /dev/null +++ b/bmtk/simulator/popnet/ssn/pyfunction_cache.py @@ -0,0 +1,96 @@ +from functools import wraps + + +class _PyFunctions(object): + def __init__(self): + self.__user_functions = {} + self.__activation_funcs = {} + + @property + def activation_functions(self): + return self.__activation_funcs.keys() + + def activation_function(self, name): + return self.__activation_funcs[name] + + def add_activation_function(self, name, func, overwrite=True): + if overwrite or name not in self.__activation_funcs: + self.__activation_funcs[name] = func + + @property + def user_functions(self): + return self.__user_functions.keys() + + def user_function(self, name): + return self.__user_functions[name] + + def add_user_functions(self, name, func, overwrite=True): + if overwrite or name not in self.__user_functions: + self.__user_functions[name] = func + + +py_modules = _PyFunctions() + + +def inputs_generator(*wargs, **wkwargs): + if len(wargs) == 1 and callable(wargs[0]): + # for the case without decorator arguments, grab the function object in wargs and create a decorator + func = wargs[0] + py_modules.add_user_functions(func.__name__, func) # add function assigned to its original name + + @wraps(func) + def func_wrapper(*args, **kwargs): + return func(*args, **kwargs) + return func_wrapper + else: + # for the case with decorator arguments + assert(all(k in ['name'] for k in wkwargs.keys())) + + def decorator(func): + # store the function in py_modules but under the name given in the decorator arguments + py_modules.add_user_functions(wkwargs['name'], func) + + @wraps(func) + def func_wrapper(*args, **kwargs): + return func(*args, **kwargs) + return func_wrapper + return decorator + +init_function = inputs_generator + + +def activation_function(*wargs, **wkwargs): + if len(wargs) == 1 and callable(wargs[0]): + # for the case without decorator arguments, grab the function object in wargs and create a decorator + func = wargs[0] + py_modules.add_activation_function(func.__name__, func) # add function assigned to its original name + + @wraps(func) + def func_wrapper(*args, **kwargs): + return func(*args, **kwargs) + return func_wrapper + else: + # for the case with decorator arguments + assert(all(k in ['name'] for k in wkwargs.keys())) + + def decorator(func): + # store the function in py_modules but under the name given in the decorator arguments + py_modules.add_activation_function(wkwargs['name'], func) + + @wraps(func) + def func_wrapper(*args, **kwargs): + return func(*args, **kwargs) + return func_wrapper + return decorator + + +def add_function(func, name=None, overwrite=True): + assert(callable(func)) + func_name = name if name is not None else func.__name__ + py_modules.add_spikes_generator(func_name, func, overwrite) + + +def add_activation_function(func, name=None, overwrite=True): + assert(callable(func)) + func_name = name if name is not None else func.__name__ + py_modules.add_activation_function(func_name, func, overwrite) diff --git a/bmtk/simulator/popnet/ssn/utils.py b/bmtk/simulator/popnet/ssn/utils.py new file mode 100644 index 000000000..3becf1b6f --- /dev/null +++ b/bmtk/simulator/popnet/ssn/utils.py @@ -0,0 +1,8 @@ +from functools import wraps + + +def empty_decorator(func): + @wraps(func) + def defunct(*args, **kwargs): + return func(*args, **kwargs) + return defunct diff --git a/bmtk/utils/sonata/config/sonata_config.py b/bmtk/utils/sonata/config/sonata_config.py index ecccc22da..f8c0d9fbc 100644 --- a/bmtk/utils/sonata/config/sonata_config.py +++ b/bmtk/utils/sonata/config/sonata_config.py @@ -203,6 +203,7 @@ def _set_class_props(self): self.gid_mappings = self.get('gid_mapping_file', None) # TODO: Remove self.node_sets = self.get('node_sets', {}) + self.target_simulator = self.get('target_simulator', None) def copy_config(conf): diff --git a/examples/pop_2pops/config.json b/examples/pop_2pops/config.json index 66329680d..fb882f22d 100644 --- a/examples/pop_2pops/config.json +++ b/examples/pop_2pops/config.json @@ -25,7 +25,8 @@ "output_dir": "$OUTPUT_DIR", "rates_file": "spike_rates.csv", "log_file": "log.txt", - "overwrite_output_dir": true + "overwrite_output_dir": true, + "log_level": "DEBUG" }, "target_simulator":"DiPDE", diff --git a/examples/pop_2pops/config.simulation.json b/examples/pop_2pops/config.simulation.json index adeb8eda4..7eb336440 100644 --- a/examples/pop_2pops/config.simulation.json +++ b/examples/pop_2pops/config.simulation.json @@ -25,7 +25,8 @@ "output_dir": "$OUTPUT_DIR", "rates_file": "spike_rates.csv", "log_file": "log.txt", - "overwrite_output_dir": true + "overwrite_output_dir": true, + "log_level": "DEBUG" }, "network": "config.circuit.json" diff --git a/examples/pop_ssn_123/PopNet_SSN.ipynb b/examples/pop_ssn_123/PopNet_SSN.ipynb new file mode 100644 index 000000000..d913d0824 --- /dev/null +++ b/examples/pop_ssn_123/PopNet_SSN.ipynb @@ -0,0 +1,1260 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4a48c45c-27e9-458e-8ed5-0729be661d34", + "metadata": {}, + "source": [ + "# PopNet Simulation with SSN\n", + "\n", + "\n", + "Original work by Rubin et al.: [The Stabilized Supralinear Network: A Unifying Circuit Motif Underlying Multi-Input Integration in Sensory Cortex](https://doi.org/10.1016/j.neuron.2014.12.026)\n", + "\n", + "Application study by Ito et al.: [Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics](https://doi.org/10.1016/j.celrep.2024.114763)\n", + "\n", + "$$\n", + "\\tau_j \\frac{dr}{dt} = -r_j + (s(\\sum_i J_{ji} r_{i} + J_{E}r_{E}) + b_{j})_+^2 \\tag{1}\n", + "$$\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "313c08fa-97eb-41b0-a135-864d64c17fa1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%html\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "747d7113-a5f0-4aa5-bec3-38534725e04e", + "metadata": {}, + "source": [ + "## Building and Saving the network\n", + "\n", + "First step is to either build a new, or download an existing, network of nodes and edges to simulate. We will use the BMTK [NetworkBuilder](https://alleninstitute.github.io/bmtk/tutorials/NetworkBuilder_Intro.html) to create a standard network and save it to the SONATA network file format. Unlike simulators like BioNet or PointNet, which deals with networks of individual spiking cells - PopNet simulates the firing-rate dynamics between subpopulations/cell-types. As such when we build each sub-population using ```add_nodes``` method we only have 1 cell in a population (eg. We let the ```N``` parameter default to value **1**).\n", + "\n", + "It is also possible to use PopNet with an existing network containing individual cells, as long as we specify during simulation how to group individual cells into populations, which we will demonstrate below. (**NOTE**: If using a BioNet or PointNet network with PopNet you will also need to update and map parameters, which at the moment needs to be preformed manually)." + ] + }, + { + "cell_type": "markdown", + "id": "3c511cb5-48b9-4d5f-b92f-c85923340e5d", + "metadata": {}, + "source": [ + "### Building Recurrent Networks\n", + "\n", + "We will first build and save a model representing the major cell types found in the mouse cortex L2/3. We start by instantiating a network called \"l23\" and addng the four major cell populations whose firing-rates dynamics will be calculated during simulation" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9d0a1961-dea7-4ca2-a89b-affd484fe338", + "metadata": {}, + "outputs": [], + "source": [ + "from bmtk.builder import NetworkBuilder\n", + "\n", + "\n", + "l23_net = NetworkBuilder('l23')\n", + "l23_net.add_nodes(\n", + " pop_name='Exc',\n", + " ei='e',\n", + " model_template='ssn:Recurrent',\n", + " model_type='rate_population',\n", + " scaling_coef=22.392148198236782,\n", + " exponent=2.0,\n", + " decay_const=10.0500429106779\n", + ")\n", + "l23_net.add_nodes(\n", + " pop_name='PV',\n", + " ei='i',\n", + " model_template='ssn:Recurrent',\n", + " model_type='rate_population',\n", + " scaling_coef=22.392148198236782,\n", + " exponent=2.0,\n", + " decay_const=11.8257398864811\n", + ")\n", + "\n", + "l23_net.add_nodes(\n", + " pop_name='SST',\n", + " ei='i',\n", + " model_template='ssn:Recurrent',\n", + " model_type='rate_population',\n", + " scaling_coef=22.392148198236782,\n", + " exponent=2.0,\n", + " decay_const=10.0159482249032\n", + ")\n", + "\n", + "l23_net.add_nodes(\n", + " pop_name='VIP',\n", + " ei='i',\n", + " model_template='ssn:Recurrent',\n", + " model_type='rate_population',\n", + " scaling_coef=22.392148198236782,\n", + " exponent=2.0,\n", + " decay_const=49.3117045605402\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "cc6f0a35-8359-4bcc-a0e4-9e7c215103f6", + "metadata": {}, + "source": [ + "Each of the four node-populations are set using a combination of optional and required attributes which will be used to instantate the cells in the network.\n", + "\n", + "* **pop_name** and **ei** are *optional* attributes we assign to each population, will be useful during analysis and \n", + "* We must set **model_type** to ```rate_population``` and **model_template** to ```ssn:Recurrent``` to indicate to PopNet how to instantiate each sub-population.\n", + "* **scaling_coeff** is the connectivity scaling factor of the network: variable $s$ in eq (1)\n", + "* **decay_const** is the decay rate of the popuatlion: $\\tau$ in eq (1)\n", + "* **exponent** is the exponent calcuated at each time step (defaul 2)\n", + "* **init_state** is the *optional* default initial state ($r_0$ in eq (1)). Although this value can be overwritten at the start of each simulation (see below)." + ] + }, + { + "cell_type": "markdown", + "id": "1ed7c9a9-6a62-456b-8840-7c5008a58350", + "metadata": {}, + "source": [ + "---\n", + "\n", + "#### [OPTIONAL] Dynamic Parameters File\n", + "\n", + "The above network will save the relevant PopNet simulation parameters - **scaling_coeff**, **decay_const**, **exponent**, and **init_state** inside the SONATA network file. It is also possible to use the ```dynamic_params``` keyword to store and load parameters from an external json file. For example you can also use:\n", + "\n", + "```python\n", + "\n", + "l23_net.add_nodes(\n", + " pop_name='Exc',\n", + " ei='e',\n", + " model_template='ssn:Recurrent',\n", + " model_type='rate_population',\n", + " dynamics_params='Exc_ssn_params.json'\n", + ")\n", + "```\n", + "\n", + "Where **Exc_ssn_params.json** is a json file\n", + "\n", + "```json\n", + "{\n", + " scaling_coef=22.392148198236782,\n", + " exponent=2.0,\n", + " decay_const=49.3117045605402,\n", + " init_state=0.0\n", + "}\n", + "```\n", + "\n", + "Both options will work with PopNet and produce the same results. Using ```dynamics_params``` makes it easier to adjust and swap out parameters on the fly, but can add complexity to the simulation and could potentially lead to issues with reproducability.\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "52fc5ab5-ceb3-4628-9da1-a503ab9dc6e6", + "metadata": {}, + "source": [ + "Now we want to add connections between populations using the ```add_edges``` method. For each population we only need to indicate the **source** sub-population, the **target** population, and the **connection-strength** ($J_{ij}$).\n", + "\n", + "After we set the connections we can build and save the network to the *network/* directory.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5c9b76fa-0d4d-40e9-b387-a72e5eb0cda6", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import itertools\n", + "\n", + "matrix = [\n", + " # Connection weights have been pre-calculated\n", + " [ 0.032540014514440, 0.04043037008531871, 0.07409100928480848, 0.054303329629300665],\n", + " [-0.009474168446121, -0.01234075896522014, -0.00496813087571539, 0.0],\n", + " [-0.001201518371451, -0.00271476061802006, -0.00061333573436626, -0.014630226522887473],\n", + " [-0.000305028126569, -0.00073158484138907, -0.00777536182340318, -0.0001246269351861529]\n", + "]\n", + "connections_df = pd.DataFrame(np.array(matrix), columns=['Exc', 'PV', 'SST', 'VIP'], index=['Exc', 'PV', 'SST', 'VIP'])\n", + "\n", + "for src, trg in itertools.product(['Exc', 'PV', 'SST', 'VIP'], repeat=2):\n", + " l23_net.add_edges(\n", + " source={'pop_name': src}, \n", + " target={'pop_name': trg},\n", + " syn_weight=connections_df.loc[src][trg]\n", + " )\n", + "\n", + "l23_net.build()\n", + "l23_net.save(output_dir='network')" + ] + }, + { + "cell_type": "markdown", + "id": "00173cfd-0c1e-4494-b51d-b7447b8f8f24", + "metadata": {}, + "source": [ + "### Building External Inputs\n", + "\n", + "Now we also want to create inputs that can be used to drive our network ($b_j$). In our model we will have inputs from two separate networks; subcortical inputs (**bkg**) and inputs from the local L4 cells (**l4**). We create these two networks like we do with the recurrent - but the caveat that we must set ```model_type=virtual``` which will indicate to PopNet that these aren't populations to simulate, but rather virutal \"placeholders\" that will be used for input stimulus (which we can define at run-time).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2f355141-8c74-4dee-9e25-243ebd8418e7", + "metadata": {}, + "outputs": [], + "source": [ + "# Create L4 --> L2/3 connections\n", + "l4e_net = NetworkBuilder('l4e')\n", + "l4e_net.add_nodes(\n", + " model_template='ssn:External',\n", + " model_type='virtual'\n", + ")\n", + "\n", + "for trg, syn_weight in zip(['Exc', 'PV', 'SST', 'VIP'], [0.01256496, 0.0278943, 0.0034658, 0.01172155]):\n", + " l4e_net.add_edges(\n", + " target=l23_net.nodes(pop_name=trg),\n", + " syn_weight=syn_weight\n", + " )\n", + "\n", + "l4e_net.build()\n", + "l4e_net.save(output_dir='network')\n", + "\n", + "\n", + "# Create BKG --> L2/3 connections\n", + "bkg_net = NetworkBuilder('bkg')\n", + "bkg_net.add_nodes(\n", + " model_template='ssn:External',\n", + " model_type='virtual'\n", + ")\n", + "for trg, syn_weight in zip(['Exc', 'PV', 'SST', 'VIP'], [0.00869301, 0.00013383, 0.00177394, 0.01785412]):\n", + " bkg_net.add_edges(\n", + " target=l23_net.nodes(pop_name=trg),\n", + " syn_weight=syn_weight\n", + " )\n", + "bkg_net.build()\n", + "bkg_net.save(output_dir='network')" + ] + }, + { + "cell_type": "markdown", + "id": "660fcb60-76ec-44c8-a52b-16a625165b46", + "metadata": {}, + "source": [ + "## Setting up and running a simulation" + ] + }, + { + "cell_type": "markdown", + "id": "b1a15845-b96b-42f6-b9a3-20853e5bf680", + "metadata": {}, + "source": [ + "Once we have built or imported a set of network file(s) we can go ahead and start the simulation. We must tell BMTK where find the network files for simulation, as well as what inputs/stimuli to use, and how to record and save the results of the simulation. The easiest way to do so is through a SONATA configuration file; in this case **config.simulation.json** which we can be easily edited with the text editor of your choice (you may also multiple configuration files corresponding to different simulations). \n", + "\n", + "We will go through the **config.simulation.json** file and explain the different sections and options available when running a simulation" + ] + }, + { + "cell_type": "markdown", + "id": "b89f9f14-8c3a-4783-a9a2-ddfa9a42315f", + "metadata": {}, + "source": [ + "### \"run\" and \"target_simulator\"" + ] + }, + { + "cell_type": "markdown", + "id": "a256b83e-0163-4997-abd1-a3e8b043a5ab", + "metadata": {}, + "source": [ + "We specify to **target_simulator** parameter to indicate to use the **SSN** simulator backend (available options: **SSN**, **DiPDE**) and the **run** section to indicate overall run-time and grouping parameters \n", + "\n", + "\n", + "```json\n", + "{\n", + "\n", + " \"target_simulator\": \"SSN\",\n", + " \n", + " \"run\": {\n", + " \"tstop\": 13500.0\n", + " \"dt\": 1.0\n", + " },\n", + "\n", + " // ...\n", + "\n", + "}\n", + "```\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
AttributeunitsDescriptionDefault
tstopmsThe amount of time (in ms) to run the simulation. If not explcity specified, BMTK will attempt to infer tstop from external input(s)
dtmsThe time step in ms. Is required1.0
nsteps_blockstepsUsed by modules for block processingtstop/dt
groupbystringUsed to specify which attribute/column for when grouping individual cells into populationsnode_id
activation_functionstringname of function to call at each step (see below).relu
" + ] + }, + { + "cell_type": "markdown", + "id": "d64dfd77-ec22-4abd-a35d-157c5db1d8bc", + "metadata": {}, + "source": [ + "### \"inputs\"" + ] + }, + { + "cell_type": "markdown", + "id": "5adf877c-e9df-47d3-b24e-7f58718b53c9", + "metadata": {}, + "source": [ + "#### initial states" + ] + }, + { + "cell_type": "markdown", + "id": "2fafc522-85c6-4fd4-a64a-6ca9a706e8c2", + "metadata": {}, + "source": [ + "\n", + "We use the following block to define the initial states of the recurrent populations, eg. $r_0$. (**Note**: Any ```init_state``` attribute saved in the SONATA network file or dynamics_params json will be overwritten). \n", + "\n", + "```json\n", + "\"inputs\": {\n", + " \"init_states\": {\n", + " \"input_type\": \"init_states\",\n", + " \"module\": \"csv\",\n", + " \"node_set\": {\n", + " \"population\": \"l23\"\n", + " },\n", + " \"file\": \"$BASE_DIR/input/initial_state.csv\"\n", + " }\n", + " // ...\n", + "}\n", + "\n", + "```\n", + "\n", + "We must set ```input_type``` to **init_states**, and use ```node_set``` to indicate which nodes to target (in this case all nodes in the \"l23\" network). While the ```module``` is used to indicate how to actually assign initial states (randomly, using a pregenerated list, or through custom functions).\n", + "\n", + "In the above case the init_states are saved in a csv file *inputs/initial_states.csv* which contains assignements of each inital_state based on the id of each subpopulation:\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
node_idpopulationinitial_statepop_name
0l231.38853652Exc
0l233.50304166PV
0l231.61686557SST
0l235.02447877VIP
\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "1743de79-fddd-447d-b649-ce3c7cdf57ef", + "metadata": {}, + "source": [ + "We could aslo pass it in as a list directly specified in the json file:\n", + "\n", + "```json\n", + "\"inputs\": {\n", + " \"init_states\": {\n", + " \"input_type\": \"init_states\",\n", + " \"node_set\": {\n", + " \"population\": \"l23\",\n", + " \"node_id\": [0, 1, 2, 3]\n", + " }\n", + " \"module\": \"list\",\n", + " \"initial_states\": [1.38853652, 3.50304166, 1.61686557, 5.02447877]\n", + " }\n", + " // ...\n", + "}\n", + "\n", + "```\n", + "\n", + "Options for **init_states** inputs. \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
moduleDescriptionOptions
constantAssigns all populations the same constant valueinitial_state: initial firing rate value (float)
randomAssign initial states randomlydistribution: name of distribution for sampling (\"uniform\", \"normal\", \"poisson\", \"lognormal\")
\n", + " seed: integer random number generator seed (int, default: None)
\n", + " low, high: parameters used in \"uniform\" random sampling
\n", + " mean, std: parameters using in \"normal\", \"poisson\", and \"lognormal\" distribution
\n", + "
listAssign population initial values from a list or npy array, by default assignment is done in orderinitial_states: A list of initial firing rates (list) or path to npy file (string)
\n", + " shuffle: shuffle list before assigning initial values (default: false)\n", + "
csvAssign populations init_values from a csv file\n", + " file: path to csv file containg inital rates
\n", + " initial_states: A list of initial firing rates (list) or path to npy file (string)
\n", + " shuffle: shuffle list before assigning initial values (default: false)\n", + "
functionWill call a user-defined function to fetch initial states for each node\n", + " init_function: name of function to execute
\n", + "
\n", + "\n", + "\n", + "**Using custom function**\n", + "\n", + "The ```input_type=\"function\"``` options allows users to write special functions that will be called before each simulation that returns a init_value according to the rules specified by the user. In the json we must tell BMTK the name of the function to call using the ```init_function``` attribute. Then in the main python script (or any imported python script) we use the ```@init_function``` decorator to register our function with BMTK.\n", + "\n", + "\n", + "For example we create a function named **set_init_states** by adding the following to our run_popnet.py script\n", + "\n", + "\n", + "```python\n", + "\n", + "from bmtk.simulator import popnet\n", + "\n", + "@popnet.init_function\n", + "def set_init_states(node, **opts):\n", + " if node['ie'] == 'e':\n", + " return 1.5\n", + " else:\n", + " return np.random.uniform(0.0, 5.0)\n", + "\n", + "```\n", + "\n", + "The function will be called for each node that requires init_state value to be assinged. The **node** parameter is a dictionary like object that user can get attributes from each node. The **\\*\\*opts** contain additional options including simulation, network, and input parameters if the user needs them. The function is expected to return a value firing rate value (a positive floating point number).\n" + ] + }, + { + "cell_type": "markdown", + "id": "56123954-ff29-4e0b-9061-e58b0931a1bd", + "metadata": {}, + "source": [ + "#### external inputs" + ] + }, + { + "cell_type": "markdown", + "id": "e12d0b86-2385-40f6-a833-3a56519d8f7c", + "metadata": {}, + "source": [ + "We also use the \"inputs\" section of the json file to indicate how our virtual/external nodes will calculate firing-rate inputs into our recurrent network. \n", + "\n", + "```python\n", + "{\n", + " \"inputs\": {\n", + " // ...\n", + " \n", + " \"l4_inputs\": {\n", + " \"input_type\": \"external_rates\",\n", + " \"module\": \"h5\",\n", + " \"file\": \"$BASE_DIR/input/l4e_rates.h5\",\n", + " \"node_set\": {\n", + " \"population\": \"l4e\"\n", + " }\n", + " },\n", + " \"bkg_inputs\": {\n", + " \"input_type\": \"external_rates\",\n", + " \"node_set\": {\n", + " \"population\": \"bkg\"\n", + " },\n", + " \"module\": \"npy\",\n", + " \"file\": \"$BASE_DIR/input/bkg_rates.npy\"\n", + " }\n", + " }\n", + "}\n", + "```\n", + "\n", + "We must set ```input_type``` to value **external_rates**, and use the ```node_set``` attribute to indicate which nodes to target. Because bkg and l4e uses different stimuli inputs we have two independent **external_rates** section. Like with init_states the ```module``` tells us the modality of the inputs\n", + "\n", + "
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moduleDescriptionOptions
npyRead in array containing firing rate dynamics to assign to external inputfile: path to file containing array of firing-rate dynamics to use during simulation
csvRead in a csv file containing firing rate dynamics to assign to external input (See below for rates format)file: path to file containing array of firing-rate dynamics to use during simulation
\n", + " sep: column separator to use (default: \" \")
\n", + " index_col: column to use to identify and map nodes (default: \"node_id\")
\n", + " firing_rates_col: column to use to get firing rates array (default: \"node_id\")
\n", + " ignore_population: do not use population (network name) for mapping nodes from network to csv (default: false)\n", + "
h5Read in a hdf5 file containing firing rate dynamics to assign to external input (See below for rates format)file: path to file containing array of firing-rate dynamics to use during simulation
\n", + " ignore_population: do not use population (network name) for mapping nodes from network to csv (default: false)\n", + "
fuctionHave popnet call a user-defined function for each node that will return an array of firing ratesinputs_generator: name of function to call before simulation starts
\n", + "\n", + "**custom function**\n", + "\n", + "When ```module``` is set to value **function** then PopNet will expect find a user defined function with name ```inputs_generator``` that will be called before the simulation. In the main python script (or any imported python script) we use the ```@inputs_generator``` decorator to register our function with BMTK. For example:\n", + "\n", + "\n", + "```python\n", + "\n", + "from bmtk.simulator import popnet\n", + "\n", + "\n", + "@popnet.inputs_generator\n", + "def load_bkg_inputs(node, sim, **opts):\n", + " # print(node.node_id, node.population)\n", + " # print(sim.dt, sim.tstart, sim.tstop, sim.nsteps)\n", + " return np.ones(sim.nsteps)\n", + "```\n", + "\n", + "\n", + "**WARNING: simulation time and step size**\n", + "\n", + "The SSN simulation engine requires all input arrays have the same time signature (eg. same start, stop, and dt) as specified in the \"run\" section. To make things easier, if ```tstop``` and ```dt``` are not defined the \"run\" section PopNet will try to infer it from the external_inputs array (in the case the user doesn't know the time signature in the numpy/csv/hdf5 file).\n", + "\n", + "However if the ```tstop``` and ```dt``` are defined in the \"run\" section, issues may arise if the time signature of any of the inputs don't match up. By default BMTK will compalain and stop the simulation. But users have the option of using ```\"strict\": false``` option to allow PopNet to attempt to run the simulation anyways. If the simulation ends before the input array PopNet will remove the tail of the input. If the input array is too short it will append the end with zeros. It will also try to align timestamps if the sampling rates are different. But if the inputs can't align with the run time BMTK will throw an error and exit the simulation.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "7f084275-8568-4579-841b-fc5a77ea463b", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "### \"output\"" + ] + }, + { + "cell_type": "markdown", + "id": "72ab6979-8d81-4942-8506-e7ebf429ffca", + "metadata": {}, + "source": [ + "The \"output\" section of the configuration json is used to indicate where and how to save simulated firing-rates\n", + "\n", + "```json \n", + " \"output\": {\n", + " \"output_dir\": \"$BASE_DIR/output/\",\n", + " \"rates_file_csv\": \"l23_rates.csv\",\n", + " \"rates_file_h5\": \"l23_rates.h5\",\n", + " \"include_columns\": [\"pop_name\"],\n", + " \"log_file\": \"log.txt\",\n", + " \"overwrite_output_dir\": true\n", + " }\n", + "```\n", + "\n", + "In the above example, when the simulation is finished it will save the L2/3 firing rate dynamics in two different file formats, a csv file (under ./ouput/l23_rates.csv) and a hdf5 file (user ./output/l23_rates.h5). See below for more information about how rates are saved to file.\n", + "\n", + "\n", + "
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moduleDescription
output_dirDirectory where any output files will be written to (assuming they aren't using relative paths)
log_filePath to file where simulation log will be written.
log_levelLevel of logging: DEBUG, INFO, WARNING, ERROR. (default: INFO)node_id
rates_file_csvPath to csv where firing rates will be written to (see below for rates format)
rates_file_h5Path to csv where firing rates will be written to (see below for rates format)
include_columns(Optional) Include other columns/attributes in output rates file(s)
" + ] + }, + { + "cell_type": "markdown", + "id": "e4d64ba4-7ca2-482f-b705-611505c74bb3", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "### \"networks\"" + ] + }, + { + "cell_type": "markdown", + "id": "e34b97c8-e7bf-4353-bab0-5c6005611cc4", + "metadata": {}, + "source": [ + "The \"networks\" section allows us to define which networks to use during the simulation. If we want to run a simulation with different inputs, or add recurrent connections, we can do so here:\n", + "\n", + "```json\n", + "{\n", + " \"networks\": {\n", + " \"nodes\": [\n", + " {\n", + " \"nodes_file\": \"$NETWORK_DIR/l23_nodes.h5\",\n", + " \"node_types_file\": \"$NETWORK_DIR/l23_node_types.csv\"\n", + " },\n", + " {\n", + " \"nodes_file\": \"$NETWORK_DIR/l4e_nodes.h5\",\n", + " \"node_types_file\": \"$NETWORK_DIR/l4e_node_types.csv\"\n", + " },\n", + " {\n", + " \"nodes_file\": \"$NETWORK_DIR/bkg_nodes.h5\",\n", + " \"node_types_file\": \"$NETWORK_DIR/bkg_node_types.csv\"\n", + " }\n", + " ],\n", + " \"edges\": [\n", + " {\n", + " \"edges_file\": \"$NETWORK_DIR/l23_l23_edges.h5\",\n", + " \"edge_types_file\": \"$NETWORK_DIR/l23_l23_edge_types.csv\"\n", + " },\n", + " {\n", + " \"edges_file\": \"$NETWORK_DIR/l4e_l23_edges.h5\",\n", + " \"edge_types_file\": \"$NETWORK_DIR/l4e_l23_edge_types.csv\"\n", + " },\n", + " {\n", + " \"edges_file\": \"$NETWORK_DIR/bkg_l23_edges.h5\",\n", + " \"edge_types_file\": \"$NETWORK_DIR/bkg_l23_edge_types.csv\"\n", + " }\n", + " ]\n", + " }\n", + "}\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "e3ec9640-2434-4bc8-be59-3b09e48b3b1a", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "### [OPTIONAL] \"run/activation_function\"" + ] + }, + { + "cell_type": "markdown", + "id": "bc59da9a-f7f7-41a8-b7bc-070ed0cd183e", + "metadata": {}, + "source": [ + "By default, the SSN applies a standard [ReLU function](https://en.wikipedia.org/wiki/Relu) to the input at the each time step before raising it to an exponent, however it is possible to overwrite it with a function of your own. We can replace it with our own function by first creating a function that takes an array of size $N$ (number of recurrent nodes), does some processing, then returns an array of size $N$. To make sure that PopNet can see the function we need to register it with the ```@activation_function``` decorator and make sure it's somewhere in our run script.\n", + "\n", + "For example we could have\n", + "\n", + "```python\n", + "from bmtk.simulator import popnet\n", + "\n", + "\n", + "@popnet.inputs_generator\n", + "def custom_activation_fn(state_arr):\n", + " return np.tanh(state_arr)\n", + "\n", + "\n", + "configure = popnet.Config.from_json('config.simulation.json')\n", + "configure.build_env()\n", + "//... rest of run script\n", + "```\n", + "\n", + "Then in the **\"run\"** section of the configuration json\n", + "\n", + "```json\n", + "{\n", + " \"run\" {\n", + " \"tstop\": 13500.0,\n", + " \"dt\": 1.0,\n", + " \"activation_function\": \"custon_activation_fn\"\n", + " }\n", + "}\n", + "```\n", + "\n", + "And next time we run the popnet script like usual it replace the normal relu function with the custom one.\n" + ] + }, + { + "cell_type": "markdown", + "id": "7dc99302-689a-4be6-8876-ed6b6affaeec", + "metadata": {}, + "source": [ + "## Running the simulation" + ] + }, + { + "cell_type": "markdown", + "id": "2a084018-9650-4ce5-acd9-b09983dacf7a", + "metadata": {}, + "source": [ + "Now that we have created our network, and defined our simulation parameters in the json configuration, we can go ahead and run the simulation. In the terminal we could run the script \n", + "\n", + "```bash\n", + " $ python run_popnet.py config.simulation.json\n", + "```\n", + "\n", + "Or in jupyter lab cell:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c4b3bc43-114c-4498-a48a-c0c26588aea2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-05-22 16:26:04,408 [INFO] Created log file\n", + "2025-05-22 16:26:04,438 [INFO] Building nodes.\n", + "2025-05-22 16:26:04,439 [INFO] Building connections.\n", + "2025-05-22 16:26:04,441 [INFO] Add input module \"init_states\"\n", + "2025-05-22 16:26:04,442 [INFO] Add input module \"l4_inputs\"\n", + "2025-05-22 16:26:04,444 [INFO] Add input module \"bkg_inputs\"\n", + "2025-05-22 16:26:04,446 [INFO] Running Simulation.\n", + "2025-05-22 16:26:05,757 [INFO] Simulation Finished.\n", + "2025-05-22 16:26:05,760 [INFO] RatesRecorderMod: Saving rates to /Users/shinya.ito/projects/Modeling/bmtk_ssn/bmtk/examples/pop_ssn_123/output/l23_rates.csv.\n", + "2025-05-22 16:26:05,847 [INFO] RatesRecorderMod: Saving rates to /Users/shinya.ito/projects/Modeling/bmtk_ssn/bmtk/examples/pop_ssn_123/output/l23_rates.h5.\n" + ] + } + ], + "source": [ + "from bmtk.simulator import popnet\n", + "\n", + "@popnet.inputs_generator\n", + "def load_bkg_inputs(node, sim, **opts):\n", + " # print(node.node_id, node.population)\n", + " # print(sim.dt, sim.tstart, sim.tstop, sim.nsteps)\n", + " return np.ones(sim.nsteps)\n", + "\n", + "\n", + "configure = popnet.Config.from_json('config.simulation.json')\n", + "configure.build_env()\n", + "\n", + "network = popnet.PopNetwork.from_config(configure)\n", + "sim = popnet.PopSimulator.from_config(configure, network)\n", + "sim.run() " + ] + }, + { + "cell_type": "markdown", + "id": "9e3d7980-4428-432e-bf05-76dc0f33bf81", + "metadata": {}, + "source": [ + "We use BMTK built in ```analyzer``` functions to plot the recorded firing rates." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "de0fd37a-26f3-4c73-ba61-1d0c9dc56a52", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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populationnode_idtimestampsfiring_ratespop_name
0l2300.01.388537Exc
1l2301.01.388849Exc
2l2302.01.388839Exc
3l2303.01.388825Exc
4l2304.01.388349Exc
\n", + "" + ], + "text/plain": [ + " population node_id timestamps firing_rates pop_name\n", + "0 l23 0 0.0 1.388537 Exc\n", + "1 l23 0 1.0 1.388849 Exc\n", + "2 l23 0 2.0 1.388839 Exc\n", + "3 l23 0 3.0 1.388825 Exc\n", + "4 l23 0 4.0 1.388349 Exc" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "l23_rates_df = pd.read_csv('output/l23_rates.csv', sep=' ')\n", + "l23_rates_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7ce4c858-bccd-4b2f-9afc-6300ee274bd4", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.microsoft.datawrangler.viewer.v0+json": { + "columns": [ + { + "name": "('population', 'pop_name')", + "rawType": "object", + "type": "unknown" + }, + { + "name": "firing_rates", + "rawType": "float64", + "type": "float" + } + ], + "ref": "f618740d-418a-4d1f-a7c4-ad4dafb34a06", + "rows": [ + [ + "('l23', 'Exc')", + "1.7384323192377584" + ], + [ + "('l23', 'PV')", + "4.813857991932312" + ], + [ + "('l23', 'SST')", + "4.094843130180547" + ], + [ + "('l23', 'VIP')", + "4.53581523245813" + ] + ], + "shape": { + "columns": 1, + "rows": 4 + } + }, + "text/plain": [ + "population pop_name\n", + "l23 Exc 1.738432\n", + " PV 4.813858\n", + " SST 4.094843\n", + " VIP 4.535815\n", + "Name: firing_rates, dtype: float64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Get the firing rates averages\n", + "l23_rates_df.groupby(['population', 'pop_name'])['firing_rates'].agg('sum')/sim.tstop" + ] + }, + { + "cell_type": "markdown", + "id": "33411777-c2c6-4604-8f8b-4cc027fb6a9e", + "metadata": {}, + "source": [ + "### HDF5 File" + ] + }, + { + "cell_type": "markdown", + "id": "bc16227c-a7c3-48b6-9cc7-98768ad28845", + "metadata": {}, + "source": [ + "Another option is to save and load rates from a SONATA formated HDF5 file.\n", + "\n", + "Rates will be saved by **population** (if there are multiple recurrent networks in the simualtion there will be multiple subgroups) under the group **/rates/{population}/**. The **data** dataset contains a $T \\times N$ (where $T$ is the number of timesteps, $N$ the number of nodes) matrix where each column represents the recording firing-rate dynamics for each node. And the **mapping** group contains ways of mapping individual times and keys/attributes to the rows and columns, respectivly." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "ce7ec8af-7e4a-4b0f-9a1e-0ad0d62a2d08", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "l23_rates.h5/\n", + "|--*rates/\n", + " |--*l23/\n", + " |-->[data] (13500, 4)\n", + " |--*mapping/\n", + " |-->[node_ids] (4,)\n", + " |-->[pop_name] (4,)\n", + " |-->[time] (13500,)\n" + ] + } + ], + "source": [ + "import h5py\n", + "\n", + "# Will parse and show the rates hdf5 tree\n", + "def tree_recurse(h5_obj, depth):\n", + " indent = ' '*(depth-1) + '|--'\n", + "\n", + " for key, node in h5_obj.items():\n", + " if isinstance(node, h5py.Group):\n", + " print(f'{indent}*{key}/')\n", + " tree_recurse(node, depth=depth+1)\n", + " elif isinstance(node, h5py.Dataset):\n", + " print(f'{indent}>[{key}] {node.shape}')\n", + "\n", + "\n", + "h5_root = h5py.File('output/l23_rates.h5', 'r')\n", + "print('l23_rates.h5/')\n", + "tree_recurse(h5_root, depth=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4b8f5ba5-8851-48f8-ae8f-9a9f581bff36", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "l23\n", + " Exc: 1.7385611015415763\n", + " PV: 4.8142146004212325\n", + " VIP: 4.536151243661364\n", + " SST: 4.095146474363834\n" + ] + } + ], + "source": [ + "# How to calcuate firing rate averages from the h5 file\n", + "with h5py.File('output/l23_rates.h5', 'r') as h5:\n", + " for pname, pgrp in h5['/rates/'].items():\n", + " node_ids = pgrp['mapping/pop_name'][()].astype(str)\n", + " time = pgrp['mapping/time'][-1]\n", + " print(pname)\n", + " for idx, nid in enumerate(node_ids):\n", + " fr_avg = np.sum(pgrp['data'][:, idx])/time\n", + " print(f' {nid}: {fr_avg}')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bmtk_ssn", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/pop_ssn_123/PopNet_SSN_optimization.ipynb b/examples/pop_ssn_123/PopNet_SSN_optimization.ipynb new file mode 100644 index 000000000..e7904670a --- /dev/null +++ b/examples/pop_ssn_123/PopNet_SSN_optimization.ipynb @@ -0,0 +1,457 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4a48c45c-27e9-458e-8ed5-0729be661d34", + "metadata": {}, + "source": [ + "# PopNet optimization\n", + "\n", + "This tutorial demonstrates a method for optimizing Stabilized Supralinear Network (SSN) model parameters using an optimizer.\n", + "\n", + "This example requires the 'numba' and 'iminuit' packages. Please ensure they are installed to run the notebook. While Numba is not strictly required for running the SSN model, its inclusion accelerates the simulation by approximately 50-100 times, making it more practical for optimization tasks.\n", + "\n", + "Reference: [Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics](https://www.sciencedirect.com/science/article/pii/S2211124724011148)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "313c08fa-97eb-41b0-a135-864d64c17fa1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%html\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "401c8d30", + "metadata": {}, + "outputs": [], + "source": [ + "# Import block\n", + "from bmtk.simulator import popnet\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl\n", + "from cycler import cycler\n", + "import pickle\n", + "import numpy as np\n", + "from iminuit import minimize\n", + "\n", + "\n", + "# For visualization\n", + "line_cols = { # copied form project_colors in util\n", + " \"Sst-IRES-Cre\": (158 / 255, 218 / 255, 229 / 255),\n", + " \"sst\": (158 / 255, 218 / 255, 229 / 255),\n", + " \"Slc17a7-IRES2-Cre\": (255 / 255, 152 / 255, 150 / 255),\n", + " \"slc\": (255 / 255, 152 / 255, 150 / 255),\n", + " \"Vip-IRES-Cre\": (197 / 255, 176 / 255, 213 / 255),\n", + " \"vip\": (197 / 255, 176 / 255, 213 / 255),\n", + "}\n", + "color_list = [line_cols[\"slc\"], \"mediumaquamarine\", line_cols[\"sst\"], line_cols[\"vip\"]]\n", + "mpl.rcParams[\"axes.prop_cycle\"] = cycler(color=color_list)" + ] + }, + { + "cell_type": "markdown", + "id": "7dc99302-689a-4be6-8876-ed6b6affaeec", + "metadata": {}, + "source": [ + "## Optimizing network parameters\n", + "\n", + "In this example, the SSN PopNet is used in an interactive mode and used for parameter optimization. First, load the network and instantiate the simulator." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c4b3bc43-114c-4498-a48a-c0c26588aea2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-05-22 16:19:08,048 [INFO] Created log file\n", + "2025-05-22 16:19:08,065 [INFO] Building nodes.\n", + "2025-05-22 16:19:08,066 [INFO] Building connections.\n", + "2025-05-22 16:19:08,067 [INFO] Add input module \"init_states\"\n", + "2025-05-22 16:19:08,068 [INFO] Add input module \"l4_inputs\"\n", + "2025-05-22 16:19:08,070 [INFO] Add input module \"bkg_inputs\"\n" + ] + } + ], + "source": [ + "@popnet.inputs_generator\n", + "def load_bkg_inputs(node, sim, **opts):\n", + " # print(node.node_id, node.population)\n", + " # print(sim.dt, sim.tstart, sim.tstop, sim.nsteps)\n", + " return np.ones(sim.nsteps)\n", + "\n", + "\n", + "configure = popnet.Config.from_json('config.simulation.json')\n", + "configure.build_env()\n", + "\n", + "network = popnet.PopNetwork.from_config(configure)\n", + "sim = popnet.PopSimulator.from_config(configure, network)" + ] + }, + { + "cell_type": "markdown", + "id": "3f1342e2", + "metadata": {}, + "source": [ + "When the simulator is run with 'return_output' option, the results are returned a variable instead of being written to a file.\n", + "This mechanism facilitates the formulation of an optimization problem." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2c2548cb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(13500, 6)\n" + ] + } + ], + "source": [ + "results = sim.run(return_output=True)\n", + "\n", + "print(results.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "0c916d47", + "metadata": {}, + "source": [ + "The result will have a shape of (time steps, number of nodes) including the external units.\n", + "To retrieve the activity of only the recurrent units, one can do:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5c9c25bb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[1.38853652 3.50304166 1.61686557 5.02447877]\n", + " [1.38884923 3.50402647 1.6179342 5.02851101]\n", + " [1.38883864 3.50404038 1.61873297 5.03235881]\n", + " ...\n", + " [1.38709075 3.49855563 1.61244919 5.01181986]\n", + " [1.38767691 3.50036444 1.61408329 5.01612201]\n", + " [1.38833074 3.50237521 1.61559399 5.02040123]]\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Simulated traces')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(results[:, :network.n_neu_recurrent])\n", + "\n", + "\n", + "# %% simulation runs the network twice, first half for stabilizing the activity, second half for recording the activity\n", + "duration = 6750\n", + "\n", + "def plot_traces(results):\n", + " plt.plot(results)\n", + " plt.legend([\"Exc\", \"PV\", \"SST\", \"VIP\"])\n", + " plt.xlabel(\"Time (ms)\")\n", + " plt.ylabel(\"Firing Rate (Hz)\")\n", + " \n", + "# plot only the second half of the simulation\n", + "plot_traces(results[duration:duration*2, :network.n_neu_recurrent])\n", + "plt.title(\"Simulated traces\")" + ] + }, + { + "cell_type": "markdown", + "id": "03dceff5", + "metadata": {}, + "source": [ + "Now let's load some target data. The present model is pre-optimized to reproduce this data." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "de0fd37a-26f3-4c73-ba61-1d0c9dc56a52", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Experimental traces')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with open('optim_data/l23_mean_traces.pkl', 'rb') as f:\n", + " l23_mean_traces = pickle.load(f)\n", + "\n", + "l23_mean_traces.keys()\n", + "\n", + "cells_to_read = ['RS_G', 'FS_G', 'SST_G', 'VIP_G']\n", + "mean_traces = np.array([l23_mean_traces[cell][\"mean\"] for cell in cells_to_read]).T\n", + "\n", + "plot_traces(mean_traces[:duration])\n", + "plt.title(\"Experimental traces\")\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "1a03cfd3", + "metadata": {}, + "source": [ + "For a demonstration purpose, let's jitter the parameters of the model." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6fd104bd", + "metadata": {}, + "outputs": [], + "source": [ + "# Jitter parameters by 5%.\n", + "\n", + "original_connectivity_mat = network.connectivity_mat\n", + "original_decay_constants = network.decay_constants" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "029f51de", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Jittered traces')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# fix the seed for reproducibility\n", + "np.random.seed(0)\n", + "\n", + "frac_change = 0.01\n", + "\n", + "new_connectivity_mat = original_connectivity_mat * np.random.uniform(1-frac_change, 1+frac_change, original_connectivity_mat.shape)\n", + "new_decay_constants = original_decay_constants * np.random.uniform(1-frac_change, 1+frac_change, original_decay_constants.shape)\n", + "\n", + "# set the new parameters to the network\n", + "network.connectivity_mat = new_connectivity_mat\n", + "network.decay_constants = new_decay_constants\n", + "\n", + "# run simulation\n", + "results_jittered = sim.run(return_output=True)\n", + "\n", + "\n", + "# plot the results\n", + "plot_traces(results_jittered[duration:duration*2, :network.n_neu_recurrent])\n", + "plt.title(\"Jittered traces\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "8b7b8efc", + "metadata": {}, + "source": [ + "We can see that the jittered traces have different SST/VIP balances. Let's see whether we can recover the activity of the original model through optimization. First let's define the loss function simply as the mean square errors between the model and target traces." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "9b403940", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimization terminated successfully.\n", + "[ 3.26582520e-02 -9.51552194e-03 -1.20423184e-03 -3.06067351e-04\n", + " 1.25451260e-02 8.71665535e-03 4.03836696e-02 -1.24359888e-02\n", + " -2.73894555e-03 -7.28094768e-04 2.80587844e-02 1.39064582e-04\n", + " 7.55342953e-02 -4.55712809e-03 -1.81240800e-04 -7.35804537e-03\n", + " 3.93736453e-03 2.83286709e-03 5.52239624e-02 2.68534950e-04\n", + " -1.26825971e-02 -1.32681187e-04 1.21353784e-02 1.94150006e-02\n", + " 1.00500429e+01 1.18257399e+01 1.00159482e+01 4.93117046e+01]\n" + ] + } + ], + "source": [ + "def loss_function(results, target):\n", + " # pick up the time window that corresponds to the target data\n", + " # For the simulation, the first half is for stabilizing the activity.\n", + " # The second half should be compared with the target data.\n", + " results = results[duration:duration*2]\n", + " target = target[:duration]\n", + " \n", + " return np.mean((results - target)**2)\n", + "\n", + "def set_parameters(parameters):\n", + " matrix_parameters = parameters[:network.connectivity_mat.size]\n", + " decay_parameters = parameters[network.connectivity_mat.size:]\n", + "\n", + " network.connectivity_mat = matrix_parameters.reshape(network.connectivity_mat.shape)\n", + " network.decay_constants = decay_parameters\n", + " return\n", + "\n", + "# formulate the optimization problem\n", + "def optim_func(parameters):\n", + " set_parameters(parameters)\n", + "\n", + " results = sim.run(return_output=True)\n", + " \n", + " loss = loss_function(results[:, :network.n_neu_recurrent], mean_traces)\n", + " return loss\n", + "\n", + "\n", + "# let's minimize using minimize in iminuit\n", + "init_parameters = np.concatenate([network.connectivity_mat.flatten(), network.decay_constants])\n", + "m = minimize(optim_func, init_parameters)\n", + "\n", + "print(m.message)\n", + "print(m.x)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "79ad7dc3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the optimized network.\n", + "set_parameters(m.x)\n", + "\n", + "results = sim.run(return_output=True)\n", + "\n", + "plot_traces(results[duration:duration*2, :network.n_neu_recurrent])\n", + "plt.title(\"Optimized traces\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "8dfd0084", + "metadata": {}, + "source": [ + "We successfully recovered the original activity of the network that matches with the experiment. Note that this is a simple demonstration of the optimization using the SSN model. Real-world optimization problem using the SSN model is typically much more difficult and require more elaborated setup. Please refer to the paper [Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics](https://www.sciencedirect.com/science/article/pii/S2211124724011148) for an example of an actual study." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bmtk_ssn", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/pop_ssn_123/build_network.orig.py b/examples/pop_ssn_123/build_network.orig.py new file mode 100644 index 000000000..e39510782 --- /dev/null +++ b/examples/pop_ssn_123/build_network.orig.py @@ -0,0 +1,121 @@ +# %% quick network creation example +import pandas as pd +import h5py as h5 +import numpy as np +import model_data + +# make an example network for a l2/3 simulation. +# in this simulation, each population type only has one population. +# layer 2/3 (4 cell types) and layer 4 excitatory (1 cell type) +pops = ["l23", "l4e", "bkg"] + +# parameters are derived from the pre-run optimization. +# connections are multiplied by the expected influence matrix from the data. +p = pd.read_csv("demo_params.csv", index_col=0, header=None).squeeze("columns") +scale = p["conn_scale"] + +decays = p[["tau_e", "tau_p", "tau_s", "tau_v"]].values * 1000 # s to ms +l4e_to_l23 = ( + p[["stim_e", "stim_p", "stim_s", "stim_v"]].values + * model_data.e4_l23_infl_matrix_mean +) + +# divide by scale to be consistent with the new framework +bkg_to_l23 = p[["input_e", "input_p", "input_s", "input_v"]].values / scale +celltypes = ["e", "p", "s", "v"] +# get the relative value from the fit + + +l23_to_l23 = p[[f"{p1}_to_{p2}" for p1 in celltypes for p2 in celltypes]].values +# then, multiply by the expected influence matrix +print(l23_to_l23) + +l23_to_l23 = l23_to_l23 * np.array(model_data.l23_infl_matrix_mean).flatten() + + +dicts = { + "l23": { + "node_type_id": [0, 1, 2, 3], + "pop_name": ["L23"] * 4, + "cell_types": ["Exc", "PV", "SST", "VIP"], # optional + "model_type": ["rate_population"] * 4, + "model_template": [None] * 4, + "scaling_coef": [scale] * 4, + "input_offset": [0.0] * 4, + "exponent": [2.0] * 4, + "decay_const": decays, + }, + "l4e": { + "node_type_id": [0], + "pop_name": ["L4Exc"], + "model_type": ["virtual"], + "model_template": [None], + }, + "bkg": { + "node_type_id": [0], + "pop_name": ["BKG"], + "model_type": ["virtual"], + "model_template": [None], + }, +} + + +def create_node_h5(popname, node_type_ids): + # create an h5 file with one node per node_type_id + # each node has a unique node_id + f = h5.File(f"network/{popname}_nodes.h5", "w") + f.create_group(f"/nodes/{popname}") + f.create_dataset(f"/nodes/{popname}/node_type_id", data=node_type_ids) + f.create_dataset(f"/nodes/{popname}/node_id", data=node_type_ids) + f.close() + + +# generate and save them as csv files in the network directory +for pname in pops: + # create the node types csv + df = pd.DataFrame(dicts[pname]) + df.to_csv(f"network/{pname}_node_types.csv", index=False, sep=" ") + create_node_h5(pname, dicts[pname]["node_type_id"]) + + +def create_edge_h5(pop1, pop2, edge_type_ids): + # the edges are also defined only per type, so this will only contain trivial + # information. + f = h5.File(f"network/{pop1}_{pop2}_edges.h5", "w") + f.create_group(f"/edges/{pop1}_{pop2}") + edge_ids = np.array(range(len(edge_type_ids))) + source_node_id = np.array(edge_type_ids) // len(dicts[pop2]["node_type_id"]) + target_node_id = np.array(edge_type_ids) % len(dicts[pop2]["node_type_id"]) + f.create_dataset(f"/edges/{pop1}_{pop2}/edge_type_id", data=edge_type_ids) + f.create_dataset(f"/edges/{pop1}_{pop2}/edge_id", data=edge_ids) + f.create_dataset(f"/edges/{pop1}_{pop2}/source_node_id", data=source_node_id) + f.create_dataset(f"/edges/{pop1}_{pop2}/target_node_id", data=target_node_id) + f.close() + + +# target is always l23, so we can loop over the sources +weight_dicts = { + "l23": l23_to_l23, + "l4e": l4e_to_l23, + "bkg": bkg_to_l23, +} + +target_ids = dicts["l23"]["node_type_id"] # types id are the same as node ids +for pname in pops: + source_ids = dicts[pname]["node_type_id"] + n_edges = len(source_ids) * len(target_ids) + count = 0 + type_dict = { + "edge_type_id": [], + "edge_group_id": [0] * n_edges, + "edge_group_index": [0] * n_edges, + "syn_weight": [], + } + for i in source_ids: + for j in target_ids: + type_dict["edge_type_id"].append(count) + type_dict["syn_weight"].append(weight_dicts[pname][j + i * 4]) + count += 1 + df = pd.DataFrame(type_dict) + df.to_csv(f"network/{pname}_l23_edge_types.csv", index=False, sep=" ") + create_edge_h5(pname, "l23", type_dict["edge_type_id"]) diff --git a/examples/pop_ssn_123/build_network.py b/examples/pop_ssn_123/build_network.py new file mode 100644 index 000000000..7a0c804f4 --- /dev/null +++ b/examples/pop_ssn_123/build_network.py @@ -0,0 +1,101 @@ +import itertools +import pandas as pd +import model_data + +from bmtk.builder import NetworkBuilder + + +params = pd.read_csv("demo_params.csv", index_col=0, header=None).squeeze("columns") + + +## Create L23 network with recurrent connections +l23_net = NetworkBuilder('l23') +l23_net.add_nodes( + pop_name='Exc', + model_template='ssn:Recurrent', + model_type='rate_population', + scaling_coef=params['conn_scale'], + input_offset=0.0, + exponent=2.0, + decay_const=params['tau_e']*1000.0, + # dynamics_params='exc_ssn.json' +) +l23_net.add_nodes( + pop_name='PV', + model_template='ssn:Recurrent', + model_type='rate_population', + scaling_coef=params['conn_scale'], + input_offset=0.0, + exponent=2.0, + decay_const=params['tau_p']*1000.0, + # dynamics_params='pv_ssn.json' +) + +l23_net.add_nodes( + pop_name='SST', + model_template='ssn:Recurrent', + model_type='rate_population', + scaling_coef=params['conn_scale'], + input_offset=0.0, + exponent=2.0, + decay_const=params['tau_s']*1000.0, + # dynamics_params='sst_ssn.json' +) + +l23_net.add_nodes( + pop_name='VIP', + model_template='ssn:Recurrent', + model_type='rate_population', + scaling_coef=params['conn_scale'], + input_offset=0.0, + exponent=2.0, + decay_const=params['tau_v']*1000.0, + # dynamics_params='vip_ssn.json' +) + + +for src, trg in itertools.product(['Exc', 'PV', 'SST', 'VIP'], repeat=2): + lu_key = f'{src[0]}_to_{trg[0]}'.lower() + if lu_key in params: + l23_net.add_edges( + source={'pop_name': src}, target={'pop_name': trg}, + syn_weight=params[lu_key]*model_data.l23_infl_df.loc[lu_key]['mean'] + ) + # print(src, trg, params[lu_key]*model_data.l23_infl_df.loc[lu_key]['mean']) + + +l23_net.build() +l23_net.save(output_dir='network') + + +## Create L4 -> L23 Connections +l4e_net = NetworkBuilder('l4e') +l4e_net.add_nodes( + model_template='ssn:External', + model_type='virtual' +) + +for trg, syn_weight in zip(['Exc', 'PV', 'SST', 'VIP'], params[['stim_e', 'stim_p', 'stim_s', 'stim_v']].values*model_data.e4_l23_infl_matrix_mean): + l4e_net.add_edges( + target=l23_net.nodes(pop_name=trg), + syn_weight=syn_weight + ) + + +l4e_net.build() +l4e_net.save(output_dir='network') + + +## Create BKG -> L23 Connections +bkg_net = NetworkBuilder('bkg') +bkg_net.add_nodes( + model_template='ssn:External', + model_type='virtual' +) +for trg, syn_weight in zip(['Exc', 'PV', 'SST', 'VIP'], params[['input_e', 'input_p', 'input_s', 'input_v']].values / params["conn_scale"]): + bkg_net.add_edges( + target=l23_net.nodes(pop_name=trg), + syn_weight=syn_weight + ) +bkg_net.build() +bkg_net.save(output_dir='network') diff --git a/examples/pop_ssn_123/components/pop_models/exc_ssn.json b/examples/pop_ssn_123/components/pop_models/exc_ssn.json new file mode 100644 index 000000000..fa4eb17ea --- /dev/null +++ b/examples/pop_ssn_123/components/pop_models/exc_ssn.json @@ -0,0 +1,6 @@ +{ + "exponent": 2.0, + "decay_const": 10.0500429106779, + "scaling_coef": 22.392148198236782, + "init_rates": 0.0 +} \ No newline at end of file diff --git a/examples/pop_ssn_123/components/pop_models/pv_ssn.json b/examples/pop_ssn_123/components/pop_models/pv_ssn.json new file mode 100644 index 000000000..38e4a72cd --- /dev/null +++ b/examples/pop_ssn_123/components/pop_models/pv_ssn.json @@ -0,0 +1,6 @@ +{ + "exponent": 2.0, + "decay_const": 10.0500429106779, + "scaling_coef": 11.8257398864811, + "init_rates": 0.0 +} \ No newline at end of file diff --git a/examples/pop_ssn_123/components/pop_models/sst_ssn.json b/examples/pop_ssn_123/components/pop_models/sst_ssn.json new file mode 100644 index 000000000..dc255a48c --- /dev/null +++ b/examples/pop_ssn_123/components/pop_models/sst_ssn.json @@ -0,0 +1,6 @@ +{ + "exponent": 2.0, + "decay_const": 10.0159482249032, + "scaling_coef": 22.392148198236782, + "init_rates": 0.0 +} \ No newline at end of file diff --git a/examples/pop_ssn_123/components/pop_models/vip_ssn.json b/examples/pop_ssn_123/components/pop_models/vip_ssn.json new file mode 100644 index 000000000..2d2d2436d --- /dev/null +++ b/examples/pop_ssn_123/components/pop_models/vip_ssn.json @@ -0,0 +1,6 @@ +{ + "exponent": 2.0, + "decay_const": 49.3117045605402, + "scaling_coef": 22.392148198236782, + "init_rates": 0.0 +} \ No newline at end of file diff --git a/examples/pop_ssn_123/config.simulation.json b/examples/pop_ssn_123/config.simulation.json new file mode 100644 index 000000000..c51084484 --- /dev/null +++ b/examples/pop_ssn_123/config.simulation.json @@ -0,0 +1,92 @@ +{ + "manifest": { + "$BASE_DIR": ".", + "$OUTPUT_DIR": "$BASE_DIR/output", + "$INPUT_DIR": "$BASE_DIR/inputs", + "$NETWORK_DIR": "$BASE_DIR/network" + }, + + "target_simulator":"SSN", + + "run": { + "dt": 1.0 + }, + + "inputs": { + "init_states": { + "input_type": "init_states", + "module": "csv", + "node_set": { + "population": "l23" + }, + "file": "$BASE_DIR/input/initial_state.csv", + "sep": " ", + "index_col": "node_id", + "value_col": "initial_state" + }, + "l4_inputs": { + "input_type": "external_rates", + "module": "h5", + "file": "$BASE_DIR/input/l4e_rates.h5", + "node_set": { + "population": "l4e" + }, + "enabled": true + }, + "bkg_inputs": { + "input_type": "external_rates", + "module": "npy", + "file": "$BASE_DIR/input/bkg_rates.npy", + "node_set": { + "population": "bkg" + }, + "enabled": true + } + }, + + "output": { + "output_dir": "$OUTPUT_DIR", + "rates_file_csv": "l23_rates.csv", + "rates_file_h5": "l23_rates.h5", + "include_columns": ["pop_name"], + "log_file": "log.txt", + "overwrite_output_dir": true + }, + + "components": { + "population_models_dir": "$BASE_DIR/components/pop_models" + }, + + "networks": { + "nodes": [ + { + "nodes_file": "$NETWORK_DIR/l23_nodes.h5", + "node_types_file": "$NETWORK_DIR/l23_node_types.csv" + }, + { + "nodes_file": "$NETWORK_DIR/l4e_nodes.h5", + "node_types_file": "$NETWORK_DIR/l4e_node_types.csv" + }, + { + "nodes_file": "$NETWORK_DIR/bkg_nodes.h5", + "node_types_file": "$NETWORK_DIR/bkg_node_types.csv" + } + + ], + + "edges": [ + { + "edges_file": "$NETWORK_DIR/l23_l23_edges.h5", + "edge_types_file": "$NETWORK_DIR/l23_l23_edge_types.csv" + }, + { + "edges_file": "$NETWORK_DIR/l4e_l23_edges.h5", + "edge_types_file": "$NETWORK_DIR/l4e_l23_edge_types.csv" + }, + { + "edges_file": "$NETWORK_DIR/bkg_l23_edges.h5", + "edge_types_file": "$NETWORK_DIR/bkg_l23_edge_types.csv" + } + ] + } + } \ No newline at end of file diff --git a/examples/pop_ssn_123/demo_params.csv b/examples/pop_ssn_123/demo_params.csv new file mode 100644 index 000000000..ce561bb70 --- /dev/null +++ b/examples/pop_ssn_123/demo_params.csv @@ -0,0 +1,29 @@ +conn_scale,22.392148198236782 +tau_e,0.010050042910677964 +tau_p,0.011825739886481192 +tau_s,0.010015948224903206 +tau_v,0.04931170456054022 +input_e,0.19465505917300674 +input_p,0.0029966508877549147 +input_s,0.039722318358674236 +input_v,0.39979221257359865 +stim_e,0.5333175435065735 +stim_p,0.10026347130019181 +stim_s,1.0133911731127814 +stim_v,0.39228751531098527 +e_to_e,1.1282945393356596 +e_to_p,0.10047058990909456 +e_to_s,0.3810285897907353 +e_to_v,0.19299616032022132 +p_to_e,0.9352584843159919 +p_to_p,0.7941286335405499 +p_to_s,1.3762135389793335 +p_to_v,1.0 +s_to_e,0.506969776983961 +s_to_p,1.3573803090100334 +s_to_s,1.0054684169938746 +s_to_v,1.961156370360251 +v_to_e,0.6631046229768919 +v_to_p,1.4930302885491367 +v_to_s,1.1834645088893734 +v_to_v,0.12462693518615293 diff --git a/examples/pop_ssn_123/input/bkg_rates.csv b/examples/pop_ssn_123/input/bkg_rates.csv new file mode 100644 index 000000000..7800134f1 --- /dev/null +++ b/examples/pop_ssn_123/input/bkg_rates.csv @@ -0,0 +1,13501 @@ +population node_id timestamps firing_rates +bkg 0 0.0 1.0 +bkg 0 1.0 1.0 +bkg 0 2.0 1.0 +bkg 0 3.0 1.0 +bkg 0 4.0 1.0 +bkg 0 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+l4e 0 13479.0 2.8023809477097883 +l4e 0 13480.0 2.805859635032477 +l4e 0 13481.0 2.811452409895765 +l4e 0 13482.0 2.814713845064188 +l4e 0 13483.0 2.8180345065188837 +l4e 0 13484.0 2.815416351165879 +l4e 0 13485.0 2.815693565455178 +l4e 0 13486.0 2.8187258165700118 +l4e 0 13487.0 2.816606539058266 +l4e 0 13488.0 2.815065587353307 +l4e 0 13489.0 2.8176673315247145 +l4e 0 13490.0 2.8150154025120178 +l4e 0 13491.0 2.819118140750687 +l4e 0 13492.0 2.8207831405041253 +l4e 0 13493.0 2.828807693274822 +l4e 0 13494.0 2.829576971542718 +l4e 0 13495.0 2.827564044988095 +l4e 0 13496.0 2.8222033121821095 +l4e 0 13497.0 2.824611013626521 +l4e 0 13498.0 2.8266237937451706 +l4e 0 13499.0 2.820898616329478 diff --git a/examples/pop_ssn_123/input/l4e_rates.h5 b/examples/pop_ssn_123/input/l4e_rates.h5 new file mode 100644 index 000000000..0e29b059e Binary files /dev/null and b/examples/pop_ssn_123/input/l4e_rates.h5 differ diff --git a/examples/pop_ssn_123/input/l4e_rates.npy b/examples/pop_ssn_123/input/l4e_rates.npy new file mode 100644 index 000000000..0d23c9633 Binary files /dev/null and b/examples/pop_ssn_123/input/l4e_rates.npy differ diff --git a/examples/pop_ssn_123/model_data.py b/examples/pop_ssn_123/model_data.py new file mode 100644 index 000000000..cef2c79c7 --- /dev/null +++ b/examples/pop_ssn_123/model_data.py @@ -0,0 +1,168 @@ +""" This file defines necessary parameters (constants?) for the model. +The order of the cell types is [EXC, PV, SST, VIP] + +""" + +# %% +import numpy as np +import pickle +import os +import pandas as pd +import itertools + +# fmt: off +""" 11/23/2021: The final influence matrix is recalculated based on the mean values. +(previously they were medians.), and the errors are evaluated as well. To see the +calculation pathway, refer to this excel sheet. +https://alleninstitute-my.sharepoint.com/:x:/g/personal/shinya_ito_alleninstitute_org/ERgemlvA6cRLi4acAty1OjkBaqeyzi6zrEG5uqzglXuEEg?e=6A8Zs8 +In the new fit method, these values will be used to make an additional term in the loss function. +""" +l23_infl_matrix_mean = [[ 0.02884, 0.40241, 0.19445, 0.28137], + [-0.01013, -0.01554, -0.00361, 0.00000], + [-0.00237, -0.00200, -0.00061, -0.00746], + [-0.00046, -0.00049, -0.00657, -0.00100]] + +l23_infl_df = pd.DataFrame({ + 'lu_key': [f'{t}_to_{s}' for t, s in itertools.product(['e', 'p', 's', 'v'], repeat=2)], + 'mean': np.array(l23_infl_matrix_mean).flatten() +}).set_index('lu_key') + + +l23_infl_matrix_fracerr = [[0.460, 0.368, 0.410, 0.415], + [0.372, 0.323, 0.598, 1.000], + [0.374, 0.377, 0.547, 0.339], + [0.623, 1.089, 0.467, 0.845]] + +""" 1/20/2022: Additional influence matrix from E4 to L23 population. These values +will be used to provide inputs to L23 population from E4 activity. Again, refer to +the excel file above for the detailed calculations of these values. """ +e4_l23_infl_matrix_mean = [0.02356, 0.27821, 0.00342, 0.02988] +e4_l23_infl_matrix_fracerr = [0.571, 0.473, 1.056, 1.146] + +""" L4 excitatory neuron activity will be used for stimulaion. +""" +# if the file exists, load it. +if os.path.exists('./neuropixels_data/l4_mean_traces.pkl'): + with open('./neuropixels_data/l4_mean_traces.pkl', 'rb') as f: + l4_excitatory_activity = pickle.load(f) + + +""" These connection probabilities were taken from Campagnola et al. 2021 +Figure Supplement 2 Connectivity Matrix +https://www.biorxiv.org/content/10.1101/2021.03.31.437553v2.full +""" +connection_prob = {} +connection_prob['L23'] = [[ 0.12, 0.81, 0.78, 0.51], + [ 0.67, 0.78, 0.22, 0.00], + [ 0.44, 0.37, 0.11, 1.00], + [ 0.13, 0.05, 0.51, 0.07]] + +connection_prob['L4'] = [[ 0.22, 0.38, 0.10, 0.00], + [ 0.54, 1.00, 0.00, 0.29], + [ 0.54, 0.00, 0.00, 1.00], + [ 0.00, 0.05, 0.60, 0.11]] + +# L5 have ET and IT. As IT is the majority, I'm using the value for IT. +connection_prob['L5'] = [[ 0.06, 0.21, 0.28, 0.11], + [ 0.34, 0.50, 0.14, 0.17], + [ 0.13, 0.29, 0.11, 0.36], + [ 0.00, 0.03, 0.21, 0.17]] + +connection_prob['L6'] = [[ 0.01, 0.44, 0.32, 0.00], + [ 0.53, 0.76, 0.05, 0.08], + [ 0.15, 0.34, 0.17, 0.74], + [ 0.00, 0.17, 0.25, 0.00]] + + +""" Connection strength is also taken from the same paper. Figure 3D, E +There are resting state PSP and 90th percentile PSP. +There is no distinction for inhibitory layers, so the values are copied for them +""" +connection_strength = {} +connection_strength['L23'] = [[ 0.10, 0.27, 0.09, 0.56], + [-0.44, -0.47, -0.25, -0.27], + [-0.16, -0.18, -0.17, -0.17], + [-0.06, -0.13, -0.15, -0.14]] + +connection_strength['L4'] = [[ 0.15, 0.45, 0.05, 0.66], + [-0.48, -0.47, -0.25, -0.27], + [-0.18, -0.18, -0.17, -0.17], + [-0.00, -0.13, -0.15, -0.14]] + +connection_strength['L5'] = [[ 0.19, 0.51, 0.08, 0.08], + [-0.53, -0.47, -0.25, -0.27], + [-0.17, -0.18, -0.17, -0.17], + [-0.00, -0.13, -0.15, -0.14]] + +connection_strength['L6'] = [[ 0.00, 0.49, 0.20, 0.00], + [-0.36, -0.47, -0.25, -0.27], + [-0.18, -0.18, -0.17, -0.17], + [-0.00, -0.13, -0.15, -0.14]] + +connection_strength_90 = {} +connection_strength_90['L23'] = [[ 0.29, 0.60, 0.94, 1.85], + [-0.39, -0.54, -0.61, -0.54], + [-0.34, -0.41, -0.42, -0.76], + [-0.21, -0.30, -0.43, -0.32]] + +connection_strength_90['L4'] = [[ 0.32, 0.61, 0.50, 2.31], + [-0.62, -0.54, -0.61, -0.54], + [-0.35, -0.41, -0.42, -0.76], + [-0.00, -0.30, -0.43, -0.32]] + +connection_strength_90['L5'] = [[ 0.33, 0.70, 0.85, 0.56], + [-0.56, -0.54, -0.61, -0.54], + [-0.27, -0.41, -0.42, -0.76], + [-0.00, -0.30, -0.43, -0.32]] + +connection_strength_90['L6'] = [[ 0.00, 1.24, 0.72, 0.00], + [-0.51, -0.54, -0.61, -0.54], + [-0.46, -0.41, -0.42, -0.76], + [-0.00, -0.30, -0.43, -0.32]] + +""" relative population in each layer also matters for how much influence each cell +type has. The data were based on MICrON Minnie dataset and Lee et al. (2010) +""" + +relative_population = {} +relative_population['L23'] = [0.90, 0.10 * 0.30, 0.10 * 0.21, 0.10 * 0.49] +relative_population['L4'] = [0.89, 0.11 * 0.55, 0.11 * 0.30, 0.11 * 0.15] +relative_population['L5'] = [0.81, 0.19 * 0.48, 0.19 * 0.43, 0.19 * 0.09] +relative_population['L6'] = [0.93, 0.07 * 0.46, 0.07 * 0.46, 0.07 * 0.08] + + +""" Firing rate range is derived fron the Neuropixels dataset. +These values are used to convert the calcium signal to firing rates. +(See neuropixels_analysis directory for details.) +""" +firing_rate_ranges = [[ 1.44, 2.79], # EXC + [ 7.44, 14.69], # PV + [11.55, 13.32], # SST + [10.79, 13.18]] # VIP + +# fmt: on + +""" Now, calculate influence matrix for each layer. +Influence matrix is net effect considering all probability, strengh and +relative population +""" + +layers = ["L23", "L4", "L5", "L6"] +influence_matrix = [ + np.array(connection_prob[layer]) + * np.array(connection_strength[layer]) + * np.expand_dims(np.array(relative_population[layer]), axis=1) + for layer in layers +] + +average_influence_matrix = np.mean(influence_matrix, axis=0) + +# Also calculate 90th percentile version +influence_matrix_90 = [ + np.array(connection_prob[layer]) + * np.array(connection_strength_90[layer]) + * np.expand_dims(np.array(relative_population[layer]), axis=1) + for layer in layers +] + +average_influence_matrix_90 = np.mean(influence_matrix_90, axis=0) diff --git a/examples/pop_ssn_123/network.orig/bkg_l23_edge_types.csv b/examples/pop_ssn_123/network.orig/bkg_l23_edge_types.csv new file mode 100644 index 000000000..d352d7008 --- /dev/null +++ b/examples/pop_ssn_123/network.orig/bkg_l23_edge_types.csv @@ -0,0 +1,5 @@ +edge_type_id edge_group_id edge_group_index syn_weight +0 0 0 0.008693005130625849 +1 0 0 0.0001338259670856798 +2 0 0 0.0017739395973541316 +3 0 0 0.01785412498319743 diff --git a/examples/pop_ssn_123/network.orig/bkg_l23_edges.h5 b/examples/pop_ssn_123/network.orig/bkg_l23_edges.h5 new file mode 100644 index 000000000..48d3df1de Binary files /dev/null and b/examples/pop_ssn_123/network.orig/bkg_l23_edges.h5 differ diff --git a/examples/pop_ssn_123/network.orig/bkg_node_types.csv b/examples/pop_ssn_123/network.orig/bkg_node_types.csv new file mode 100644 index 000000000..ac45ddd3e --- /dev/null +++ b/examples/pop_ssn_123/network.orig/bkg_node_types.csv @@ -0,0 +1,2 @@ +node_type_id pop_name model_type model_template +0 BKG virtual diff --git a/examples/pop_ssn_123/network.orig/bkg_nodes.h5 b/examples/pop_ssn_123/network.orig/bkg_nodes.h5 new file mode 100644 index 000000000..18e0fa957 Binary files /dev/null and b/examples/pop_ssn_123/network.orig/bkg_nodes.h5 differ diff --git a/examples/pop_ssn_123/network.orig/l23_l23_edge_types.csv b/examples/pop_ssn_123/network.orig/l23_l23_edge_types.csv new file mode 100644 index 000000000..85de10d04 --- /dev/null +++ b/examples/pop_ssn_123/network.orig/l23_l23_edge_types.csv @@ -0,0 +1,17 @@ +edge_type_id edge_group_id edge_group_index syn_weight +0 0 0 0.03254001451444043 +1 0 0 0.04043037008531871 +2 0 0 0.07409100928480848 +3 0 0 0.054303329629300665 +4 0 0 -0.009474168446121 +5 0 0 -0.012340758965220145 +6 0 0 -0.004968130875715394 +7 0 0 0.0 +8 0 0 -0.0012015183714519876 +9 0 0 -0.0027147606180200666 +10 0 0 -0.0006133357343662634 +11 0 0 -0.014630226522887473 +12 0 0 -0.00030502812656937027 +13 0 0 -0.0007315848413890771 +14 0 0 -0.007775361823403184 +15 0 0 -0.0001246269351861529 diff --git a/examples/pop_ssn_123/network.orig/l23_l23_edges.h5 b/examples/pop_ssn_123/network.orig/l23_l23_edges.h5 new file mode 100644 index 000000000..42cc52bf8 Binary files /dev/null and b/examples/pop_ssn_123/network.orig/l23_l23_edges.h5 differ diff --git a/examples/pop_ssn_123/network.orig/l23_node_types.csv b/examples/pop_ssn_123/network.orig/l23_node_types.csv new file mode 100644 index 000000000..7945ca9bc --- /dev/null +++ b/examples/pop_ssn_123/network.orig/l23_node_types.csv @@ -0,0 +1,5 @@ +node_type_id pop_name cell_types model_type model_template scaling_coef input_offset exponent decay_const +0 L23 Exc rate_population 22.392148198236782 0.0 2.0 10.0500429106779 +1 L23 PV rate_population 22.392148198236782 0.0 2.0 11.8257398864811 +2 L23 SST rate_population 22.392148198236782 0.0 2.0 10.0159482249032 +3 L23 VIP rate_population 22.392148198236782 0.0 2.0 49.3117045605402 diff --git a/examples/pop_ssn_123/network.orig/l23_nodes.h5 b/examples/pop_ssn_123/network.orig/l23_nodes.h5 new file mode 100644 index 000000000..d1be037c2 Binary files /dev/null and b/examples/pop_ssn_123/network.orig/l23_nodes.h5 differ diff --git a/examples/pop_ssn_123/network.orig/l4e_l23_edge_types.csv b/examples/pop_ssn_123/network.orig/l4e_l23_edge_types.csv new file mode 100644 index 000000000..c789522b3 --- /dev/null +++ b/examples/pop_ssn_123/network.orig/l4e_l23_edge_types.csv @@ -0,0 +1,5 @@ +edge_type_id edge_group_id edge_group_index syn_weight +0 0 0 0.01256496132501487 +1 0 0 0.027894300350426362 +2 0 0 0.003465797812045712 +3 0 0 0.011721550957492239 diff --git a/examples/pop_ssn_123/network.orig/l4e_l23_edges.h5 b/examples/pop_ssn_123/network.orig/l4e_l23_edges.h5 new file mode 100644 index 000000000..186da7adb Binary files /dev/null and b/examples/pop_ssn_123/network.orig/l4e_l23_edges.h5 differ diff --git a/examples/pop_ssn_123/network.orig/l4e_node_types.csv b/examples/pop_ssn_123/network.orig/l4e_node_types.csv new file mode 100644 index 000000000..f9437dcee --- /dev/null +++ b/examples/pop_ssn_123/network.orig/l4e_node_types.csv @@ -0,0 +1,2 @@ +node_type_id pop_name model_type model_template +0 L4Exc virtual diff --git a/examples/pop_ssn_123/network.orig/l4e_nodes.h5 b/examples/pop_ssn_123/network.orig/l4e_nodes.h5 new file mode 100644 index 000000000..b41947220 Binary files /dev/null and b/examples/pop_ssn_123/network.orig/l4e_nodes.h5 differ diff --git a/examples/pop_ssn_123/network/bkg_l23_edge_types.csv b/examples/pop_ssn_123/network/bkg_l23_edge_types.csv new file mode 100644 index 000000000..2b0841868 --- /dev/null +++ b/examples/pop_ssn_123/network/bkg_l23_edge_types.csv @@ -0,0 +1,5 @@ +edge_type_id target_query source_query syn_weight +100 pop_name=='Exc' * 0.008693005130625849 +101 pop_name=='PV' * 0.0001338259670856798 +102 pop_name=='SST' * 0.0017739395973541316 +103 pop_name=='VIP' * 0.01785412498319743 diff --git a/examples/pop_ssn_123/network/bkg_l23_edges.h5 b/examples/pop_ssn_123/network/bkg_l23_edges.h5 new file mode 100644 index 000000000..c63d3a3dd Binary files /dev/null and b/examples/pop_ssn_123/network/bkg_l23_edges.h5 differ diff --git a/examples/pop_ssn_123/network/bkg_node_types.csv b/examples/pop_ssn_123/network/bkg_node_types.csv new file mode 100644 index 000000000..5b1302ff5 --- /dev/null +++ b/examples/pop_ssn_123/network/bkg_node_types.csv @@ -0,0 +1,2 @@ +node_type_id model_type model_template +100 virtual ssn:External diff --git a/examples/pop_ssn_123/network/bkg_nodes.h5 b/examples/pop_ssn_123/network/bkg_nodes.h5 new file mode 100644 index 000000000..af8971aab Binary files /dev/null and b/examples/pop_ssn_123/network/bkg_nodes.h5 differ diff --git a/examples/pop_ssn_123/network/l23_l23_edge_types.csv b/examples/pop_ssn_123/network/l23_l23_edge_types.csv new file mode 100644 index 000000000..e752a70f1 --- /dev/null +++ b/examples/pop_ssn_123/network/l23_l23_edge_types.csv @@ -0,0 +1,17 @@ +edge_type_id target_query source_query syn_weight +100 pop_name=='Exc' pop_name=='Exc' 0.03254001451444043 +101 pop_name=='PV' pop_name=='Exc' 0.04043037008531871 +102 pop_name=='SST' pop_name=='Exc' 0.07409100928480848 +103 pop_name=='VIP' pop_name=='Exc' 0.054303329629300665 +104 pop_name=='Exc' pop_name=='PV' -0.009474168446121 +105 pop_name=='PV' pop_name=='PV' -0.012340758965220145 +106 pop_name=='SST' pop_name=='PV' -0.004968130875715394 +107 pop_name=='VIP' pop_name=='PV' 0.0 +108 pop_name=='Exc' pop_name=='SST' -0.0012015183714519876 +109 pop_name=='PV' pop_name=='SST' -0.0027147606180200666 +110 pop_name=='SST' pop_name=='SST' -0.0006133357343662634 +111 pop_name=='VIP' pop_name=='SST' -0.014630226522887473 +112 pop_name=='Exc' pop_name=='VIP' -0.00030502812656937027 +113 pop_name=='PV' pop_name=='VIP' -0.0007315848413890771 +114 pop_name=='SST' pop_name=='VIP' -0.007775361823403184 +115 pop_name=='VIP' pop_name=='VIP' -0.0001246269351861529 diff --git a/examples/pop_ssn_123/network/l23_l23_edges.h5 b/examples/pop_ssn_123/network/l23_l23_edges.h5 new file mode 100644 index 000000000..0d5ee4cb2 Binary files /dev/null and b/examples/pop_ssn_123/network/l23_l23_edges.h5 differ diff --git a/examples/pop_ssn_123/network/l23_node_types.csv b/examples/pop_ssn_123/network/l23_node_types.csv new file mode 100644 index 000000000..b2a99118f --- /dev/null +++ b/examples/pop_ssn_123/network/l23_node_types.csv @@ -0,0 +1,5 @@ +node_type_id model_template model_type input_offset exponent decay_const scaling_coef pop_name +100 ssn:Recurrent rate_population 0.0 2.0 10.0500429106779 22.392148198236782 Exc +101 ssn:Recurrent rate_population 0.0 2.0 11.8257398864811 22.392148198236782 PV +102 ssn:Recurrent rate_population 0.0 2.0 10.0159482249032 22.392148198236782 SST +103 ssn:Recurrent rate_population 0.0 2.0 49.3117045605402 22.392148198236782 VIP diff --git a/examples/pop_ssn_123/network/l23_nodes.h5 b/examples/pop_ssn_123/network/l23_nodes.h5 new file mode 100644 index 000000000..f4c609576 Binary files /dev/null and b/examples/pop_ssn_123/network/l23_nodes.h5 differ diff --git a/examples/pop_ssn_123/network/l4e_l23_edge_types.csv b/examples/pop_ssn_123/network/l4e_l23_edge_types.csv new file mode 100644 index 000000000..36a3e1b7b --- /dev/null +++ b/examples/pop_ssn_123/network/l4e_l23_edge_types.csv @@ -0,0 +1,5 @@ +edge_type_id target_query source_query syn_weight +100 pop_name=='Exc' * 0.01256496132501487 +101 pop_name=='PV' * 0.027894300350426362 +102 pop_name=='SST' * 0.003465797812045712 +103 pop_name=='VIP' * 0.011721550957492239 diff --git a/examples/pop_ssn_123/network/l4e_l23_edges.h5 b/examples/pop_ssn_123/network/l4e_l23_edges.h5 new file mode 100644 index 000000000..1b7201330 Binary files /dev/null and b/examples/pop_ssn_123/network/l4e_l23_edges.h5 differ diff --git a/examples/pop_ssn_123/network/l4e_node_types.csv b/examples/pop_ssn_123/network/l4e_node_types.csv new file mode 100644 index 000000000..5b1302ff5 --- /dev/null +++ b/examples/pop_ssn_123/network/l4e_node_types.csv @@ -0,0 +1,2 @@ +node_type_id model_type model_template +100 virtual ssn:External diff --git a/examples/pop_ssn_123/network/l4e_nodes.h5 b/examples/pop_ssn_123/network/l4e_nodes.h5 new file mode 100644 index 000000000..8623d6bf1 Binary files /dev/null and b/examples/pop_ssn_123/network/l4e_nodes.h5 differ diff --git a/examples/pop_ssn_123/optim_data/l23_mean_traces.pkl b/examples/pop_ssn_123/optim_data/l23_mean_traces.pkl new file mode 100644 index 000000000..e01fe0f2c Binary files /dev/null and b/examples/pop_ssn_123/optim_data/l23_mean_traces.pkl differ diff --git a/examples/pop_ssn_123/run_popnet.py b/examples/pop_ssn_123/run_popnet.py new file mode 100644 index 000000000..3699f2b86 --- /dev/null +++ b/examples/pop_ssn_123/run_popnet.py @@ -0,0 +1,47 @@ +import numpy as np +import argparse + +from bmtk.simulator import popnet +from bmtk.analyzer.firing_rates import plot_rates + + +@popnet.inputs_generator +def load_bkg_inputs(node, sim, **opts): + # print(node.node_id, node.population) + # print(sim.dt, sim.tstart, sim.tstop, sim.nsteps) + return np.ones(sim.nsteps) + + +@popnet.init_function +def set_init_states(node, sim, **opts): + if node['pop_name'] == 'Exc': + return 1.38853652 + elif node['pop_name'] == 'PV': + return 3.50304166 + elif node['pop_name'] == 'SST': + return 1.61686557 + else: + return 5.02447877 + + +@popnet.activation_function +def tanh(state_arr): + return np.tanh(state_arr) + + +def run(configuration_path): + configure = popnet.Config.from_json(configuration_path) + configure.build_env() + + network = popnet.PopNetwork.from_config(configure) + sim = popnet.PopSimulator.from_config(configure, network) + # sim.set_activation_function(tanh) + sim.run() + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument('config', nargs='?', default='config.simulation.json', help='SONATA configuration json file.') + args = parser.parse_args() + run(args.config) + + plot_rates(args.config, label_column='pop_name') diff --git a/examples/pop_ssn_123/run_ssn.orig.py b/examples/pop_ssn_123/run_ssn.orig.py new file mode 100644 index 000000000..b4d262282 --- /dev/null +++ b/examples/pop_ssn_123/run_ssn.orig.py @@ -0,0 +1,179 @@ +# %% test run of the SONATA version of the network + +# This is merely trying to check the validity of the files, and not specifying how +# the files should be actually read. +# In particular, in this example, I'm assuming one node per population, which is not +# generally the case. + +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +from numba import njit + +# load the input files +l4e_input = np.load("input/l4e_rates.npy") +bkg_input = np.load("input/bkg_rates.npy") +init_state = np.load("input/initial_state.npy") +ext_inputs = np.concatenate([l4e_input, bkg_input], axis=1) + + +# load the nodes +network_dir = "network.orig" +pops = ["l23", "l4e", "bkg"] + +nodes = [] +for pop in pops: + filename = f"{network_dir}/{pop}_node_types.csv" + df = pd.read_csv(filename, sep=" ") + nodes.append(df) + +# concatenate them + +nodes_recurrent = nodes[0] +n_neu_recurrent = len(nodes_recurrent) # number of recurrent neurons + +nodes_all = pd.concat(nodes, ignore_index=True) +n_neu_total = len(nodes_all) # total number of neurons + +# extract necessary elements for simulation +scales = nodes_recurrent["scaling_coef"].values +input_offset = nodes_recurrent["input_offset"].values +exponents = nodes_recurrent["exponent"].values +decay_constants = nodes_recurrent["decay_const"].values +dt = 1.0 # ms this should come from the config file + + +# %% load the edges +edges = [] +for pop in pops: + filename = f"{network_dir}/{pop}_l23_edge_types.csv" + df = pd.read_csv(filename, sep=" ") + edges.append(df) + +# construct the connectivity matrix +edges_all = pd.concat(edges, ignore_index=True) +# transpose to multiply to state vector +mat = edges_all["syn_weight"].values.reshape([6, 4]).T + + +# %% define the simulation +# from numba import njit + + +@njit +def relu(array): # non destructive; a litte slower, but safer + return array * (array > 0) # still faster than np.maximum() + + +@njit +def relu2(array): + # if the element is negative, set it to zero using loop + # destructive method (alters the original array), but faster than the above one. + for i in range(len(array)): + if array[i] < 0: + array[i] = 0 + return array + + +@njit +def step(state, mat, scales, exponents, decay_constants, dt): + """Execute One step of the SSN model + Arguments: + state {np.ndarray} -- current state (firing rates) of the network including the + external inputs + mat {np.ndarray} -- connectivity matrix (N, N + M) + scales {np.ndarray} -- input scaling coefficients + exponents {np.ndarray} -- exponents (alpha) + decay_constants {np.ndarray} -- decay constants (tau) + dt {float} -- time step size + + N and M are the number of recurrent and external neurons, respectively + Returns: + np.ndarray -- updated state of the network (only recurrent neurons) + """ + input = relu2(np.dot(mat, state) * scales) ** exponents + n_neu_recurrent = mat.shape[0] + recurrent_state = state[:n_neu_recurrent] + dr = (-recurrent_state + input) / decay_constants * dt + return relu2(recurrent_state + dr) + + +@njit +def simulate(init_state, ext_inputs, mat, scales, exponents, decay_constants, dt): + """Simulate the network + Arguments: + init_state {np.ndarray} -- initial state of the network (only recurrent neurons) + ext_inputs {np.ndarray} -- external inputs (n_step, n_pops) matrix + mat {np.ndarray} -- connectivity matrix (N, N + M) + scales {np.ndarray} -- input scaling coefficients + exponents {np.ndarray} -- exponents (alpha) + decay_constants {np.ndarray} -- decay constants (tau) + dt {float} -- time step size + Returns: + np.ndarray -- simulation results (n_step, n_neu_recurrent) + """ + # state is initial state + # ext_inputs is profile of external inputs. (n_step, n_pops) matrix + n_steps = ext_inputs.shape[0] + n_neu_recurrent = len(init_state) + n_neu_total = n_neu_recurrent + ext_inputs.shape[1] + + # define the results including the external inputs. + results = np.zeros((n_steps, n_neu_total)) + results[:, n_neu_recurrent:] = ext_inputs + # fill in the first time step with the initial state + results[0, :n_neu_recurrent] = init_state + + + for t in range(n_steps - 1): + results[t + 1, :n_neu_recurrent] = step( + results[t, :], + mat, + scales, + exponents, + decay_constants, + dt, + ) + # state = step(state, mat, scales, exponents, decay_constants, dt) + # results[t + 1, :n_neu_recurrent] = state + + return results[:, :n_neu_recurrent] # return only the recurrent neurons + + +print(f'init_state: {init_state}') +print(f'ext_inputs: {ext_inputs}') +print(f'mat: {mat}') +print(f'scales: {scales}') +print(f'exponents: {exponents}') +print(f'decay_constants: {decay_constants}') +print(f'dt: {dt}') +# , scales, exponents, decay_constants, dt + +# print(scales) +# print(init_state) +# exit() + +# run the simulation +result = simulate(init_state, ext_inputs, mat, scales, exponents, decay_constants, dt) +# %timeit simulate(init_state, ext_inputs, mat, scales, exponents, decay_constants, dt) +# 5.87 ms ± 10.9 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) + +print(result) + +# %% +fig, ax = plt.subplots(2, 1) +ax[0].plot(result[:, :]) +ax[0].legend(nodes_recurrent["cell_types"].values) +ax[0].title.set_text("Entire simulation") + + +# usually, I only use the latter half of the simulation because the first half is +# a settling period, but showing the whole simulation here for demonstration. + +ax[1].plot(result[6750:, :]) # if you only need the latter half +ax[1].title.set_text("After settling") + + +# save the figure +fig.tight_layout() +fig.savefig("test_run.png", dpi=100)