SNN Demo

Implementing the Spiking Neural Network (SNN) from first principles

Welcome to the the SNN Demo repo. Explore the sample code, notebooks for a demonstrable example of SNN models explained from first principles.

Guides

You can browse the jupyter notebooks (.ipynb extension) and read through, or run them on your local machine.

• Notebook 1
• Notebook 2

To run them locally you need to do the followings:

1. Check the dependecnies and install the required packages.
2. Download the USPS dataset [2] and save it on your local directory.
3. Run jupyter notebook and open one of the ipynb files.
4. Excecute each cell from top to bottom consecutively.
5. Enjoy.

Contributors

• Roozbeh H. Pazuki (rpazuki@gmail.com)

Licence & copyright

Copyright (c) 2021 Roozbeh H. Pazuki

Licensed under GNU License.

Reference

An Introduction to Probabilistic Spiking Neural Networks: [1]

USPS dataset: [2]

Spatio-temporal correlations and visual signalling in a complete neuronal population: [3]