RC-ANN RM Hebbian

This project implements a reservoir in the Neurosimulator ANNarchy, using the "Reward-Modulated Hebbian" learning rule of Legenstein et al. (2010) and Hoerzer et al. (2014). The network is designed to perform dynamic and memory tasks in both closed-loop and open-loop configurations.

Installation

To run this project, you need to have Python installed. You can install the required packages using the provided .yml file. First, ensure you have conda installed, then run:

conda env create -n [name] --file env.yml
conda activate [name]
python main.py

Project Structure

project
│   README.md
│   env.yml
│   main.py
│
└───network/
      model.py
      utils.py
      definitions.py  

• main.py: This is the main script to run the project. It includes functions to set up and execute the neural network in both open-loop and closed-loop configurations
• network/: This directory contains the core components of the neural network.
  • model.py: Defines the RCNetwork class, which includes methods for building, compiling, and running the reservoir computing network.
  • utils.py: Contains utility functions used throughout the project.
  • definitions.py: Defines the neuron models and learning rules used in the network.

License

This project is licensed under the MIT License. See the LICENSE file for more details.