aidenkitamura/spikingneuralnetwork

Brain Inspired Computing Big Project

This project is a deep learning project for the course Brain Inspired Computing conducted at SUTD. In this project, the main purpose is to reproduce a model proposed in the paper: Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing.

File Structure

All code related to models are contained in the folder models. It is further divided into 3 sub-folders, including extractors, loaders, and predictors. The extractors are the backbones, the loaders are used to treat different dataset, and the predictors are used for different applications.

External Sources

We used implementation from https://github.com/anglyan/spikingtorch for Spiking Net. Revisions were made according to demand.

Usage

To be conpleted.