snntorch

Sparse snnTorch implementation of Fruit Fly (Drosophila Melanogaster) Brain

A persistent spiking neural network that lives on your desktop — 1,260 neurons, STDP learning, neuromodulators, and an LLM speech layer.

A differentially private spiking neural network with temporal enhanced pooling

Spiking ResNet‑18 (snnTorch) for blood‑pressure prediction from PPG. Implements PA‑B residual connections and Densely Additive Connections (Li et al., Rethinking residual connection in training large-scale spiking neural networks). Includes preprocessing for the bp‑benchmark dataset (González et al.).

Source code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization", and presented at EPIA 2024, the 23rd International Conference on Artificial Intelligence.

Open-source Benchmark Library for Spiking Neural Network based Time-Series Forecasting.

Native Spiking Neural Network (SNN) implementation of the Baby Dragon Hatchling (BDH) architecture for Neuromorphic & Edge AI with Continual Learning.

Source code of the paper entitled "Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection", and presented at CIARP 2024, the 27th Iberamerican Congress on Pattern Recognition.

Autonomous drone navigation system implemented using Spiking Neural Networks (SNN) in Verilog RTL. Includes PyTorch-to-Hardware quantization and LIF neuron models.

A predictive Visual Place Recognition system using Event Forecasting Transformers and SNN encoders to enable robust robot localization during sensor dropout and total darkness.

🧠⚡ NeuroEvo Cleaners Spiking Neural Networks that evolve to master complex trash collection tasks

This repository trains a spiking neural network (SNN) classifier on the MNIST dataset using various spike encoding techniques. It explores different encoding schemes to convert images into spike trains and evaluates their impact on classification performance with the help of the SNNTorch module.

SNN Control System for Superconducting Transmon Qubits

Neuromorphic Spiking Neural Network (SNN) digit classifier built using PyTorch, snnTorch, and Streamlit. Simulates Leaky Integrate-and-Fire (LIF) neuron dynamics with interactive canvas drawing and real-time spike raster plots.

A Robust Framework for Arrhythmia Detection using Deep and Spiking Neural Networks

Gradient checkpointing and VRAM auto-tuning for spiking neural network training. O(sqrt(T)) activation memory with bit-identical gradients.

Official implementation of SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting, accepted at ECML PKDD 2026.

Train Spiking Neural Networks for a Biomimetic Eye

Learn how brain-inspired neuron models work, from the basics to hands-on code.