A differentially private spiking neural network with temporal enhanced pooling

Train Spiking Neural Networks for a Biomimetic Eye

Recurrent spiking network models for predicting MNIST sequences

Spiking Neural Network Image Classification with SNN-Torch and Gradio. This project features a Spiking Neural Network (SNN) built using SNN-Torch for classifying images. SNNs are energy-efficient, biologically inspired models. The project aims to showcase abilities of Spiking Neural Networks to classify images and Gradio to create the model demo.

Code used to develop and test a Spiking Neural Network model to classify MNIST and Fashion-MNIST datasets