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.
☆266Updated 2 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
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆222Updated 6 months ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆385Updated 3 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆156Updated 5 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆313Updated 5 months ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆369Updated 2 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆121Updated 7 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆301Updated 6 months ago
- ☆334Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- Spatio-temporal BP for SNNs☆215Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆98Updated 4 years ago
- Spiking Convolutional Neural Networks☆65Updated 6 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- ☆68Updated 3 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆130Updated 3 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆694Updated last week
- ☆253Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆78Updated last year
- ☆89Updated 10 months ago
- ☆35Updated 3 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆125Updated 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 6 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 11 months ago
- Reinforcement Learning for Spiking Neural Networks☆81Updated 5 months ago
- ☆42Updated 5 years ago
- Deep Learning library for Lava☆154Updated 2 weeks ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆125Updated 4 years ago
- Liquid State Machines in Python and NEST☆69Updated 4 years ago
- spiking-neural-networks☆36Updated last week