Biological Neural Models

Collection of different biological neuron models implemented in Python.

1. FitzHugh-Nagumo model [Paper] [Info]
2. Hindmarsh-Rose model [Paper] [Info]
3. Hodgkin-Huxley model [Paper] [Info]
4. Integrate-and-Fire model [Paper] [Info]
5. Izhikevich model [Paper] [Info]
6. Morris-Lecar model [Paper] [Info]
7. Rulkov map [Paper] [Info]
8. Chialvo map [Paper]

Installation

To install the dependencies, run the following command:

pip install -r requirements.txt

If using Conda, you can also create an environment with the requirements:

conda env create -f environment.yml

By default the environment name is biological-neural-models. To activate it run:

conda activate biological-neural-models

Usage

Check notebooks/ to see the details and examples of each model.