guillaume-chevalier / Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDPLinks
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.
☆274Updated 3 years ago
Alternatives and similar repositories for Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
Users that are interested in Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP are comparing it to the libraries listed below
Sorting:
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆395Updated 4 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆386Updated 2 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆132Updated 8 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆168Updated 6 years ago
- ☆70Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆344Updated last year
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆324Updated 5 months ago
- ☆38Updated 3 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- Long short-term memory Spiking Neural Networks☆107Updated 5 years ago
- ☆98Updated last year
- ☆355Updated 3 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆772Updated 2 months ago
- ☆46Updated 3 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆136Updated 4 years ago
- ☆255Updated 4 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 7 years ago
- ☆143Updated 4 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Spatio-temporal BP for SNNs☆232Updated 3 years ago
- ☆34Updated 5 years ago
- ☆42Updated 6 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆73Updated 2 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- spiking-neural-networks☆37Updated last month