Memristive Adaptive Neuron Spatial Optimisation Automata

📌 Overview

Memristive_Adaptive_Neuron_Spatial_Optimisation_Automata is a MATLAB-based repository focused on simulating a bio-mimetic Neuron Cell using $SiO_2$-based adaptive Conductive Bridging Random Access Memories (CBRAMs). The project further extends this foundational hardware concept into an emergent optimal transport route network through a continuous Cellular Automata (CA) application.

This repository explores the intersection of neuromorphic engineering, memristive device modeling, and spatial optimization.

🗂️ Project Structure

The repository is organized into four primary modules:

• /CBRAM Model Contains the core mathematical and behavioral models for the $SiO_2$-based adaptive CBRAMs. These models simulate the ion migration and filament formation responsible for the device's memristive properties.
• /Memristive_Adaptive_Neuron_Spatial_Optimisation_Local Implements the continuous Cellular Automata (CA) framework. This module is responsible for the spatial optimization and routing algorithms, demonstrating how interconnected memristive "neurons" can dynamically find optimal transport routes.
• /Non-Linear Analysis Provides analytical scripts and tools to evaluate the non-linear dynamics of the bio-mimetic neuron cells and the resulting emergent network behaviors.
• /Simulink Contains Simulink models (.slx) for block-level simulation and visual representation of the memristive neuron circuits and their systemic interactions.

🚀 Prerequisites

To run the models and simulations in this repository, you will need:

• MATLAB (R2021a or newer recommended)
• Simulink (for running files in the /Simulink directory)
• Relevant MATLAB toolboxes (e.g., Control System Toolbox, Simscape—depending on specific script requirements).

🛠️ Usage

1. Clone the repository:

   git clone [https://github.com/chipher-zero/Memristive_Adaptive_Neuron_Spatial_Optimisation_Automata.git](https://github.com/chipher-zero/Memristive_Adaptive_Neuron_Spatial_Optimisation_Automata.git)

2. Open in MATLAB: Navigate to the cloned directory within the MATLAB environment.
3. Run Models:
   • To explore the memristive properties, run the initialization scripts within the /CBRAM Model directory.
   • To view the system-level simulation, open the corresponding .slx files in the /Simulink folder.
   • To observe the spatial optimization cellular automata, execute the main run scripts located in the /Memristive_Adaptive_Neuron_Spatial_Optimisation_Local directory.

📄 License

This project is licensed under the GPL-2.0 License. See the LICENSE file for more details.