guillaume-chevalier / Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
☆257Updated last year
Related projects: ⓘ
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆215Updated last month
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆371Updated 3 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆360Updated last year
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆306Updated 3 weeks ago
- Tutorial for surrogate gradient learning in spiking neural networks☆280Updated last month
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆119Updated 7 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆148Updated 5 years ago
- ☆66Updated 2 years ago
- Spatio-temporal BP for SNNs☆205Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆97Updated 4 years ago
- Basic SNN propogating spikes between LIF neurons☆79Updated 6 years ago
- ☆327Updated 2 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆650Updated this week
- ☆83Updated 6 months ago
- Spiking Convolutional Neural Networks☆62Updated 5 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated last year
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆128Updated 3 years ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆120Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 6 months ago
- ☆248Updated 3 years ago
- ☆141Updated 3 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 6 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆94Updated 3 years ago
- ☆36Updated 2 years ago
- ☆42Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆75Updated last year
- Publicly available event datasets and transforms.☆202Updated 3 weeks ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆119Updated 3 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆81Updated 11 months ago
- ☆41Updated 5 years ago