mackelab / multispike_tempotron
To identify features by aggregate-label learning in spiking neurons
☆14Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for multispike_tempotron
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 10 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆55Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆11Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆28Updated 3 years ago
- ☆35Updated 2 years ago
- ☆43Updated 2 years ago
- ☆33Updated 4 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 7 months ago
- ☆87Updated 8 months ago
- Code for training binary and WTA SNNs☆14Updated 2 years ago
- ☆16Updated 3 years ago
- ☆42Updated 5 years ago
- An event based dataset loader under one common python API.☆9Updated 2 years ago
- a spiking neural network module, tempotron for classification☆15Updated 3 years ago
- Paper submission☆20Updated last year
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆59Updated 3 years ago
- ☆32Updated 5 years ago
- Spiking Neural Network to identify spoken letters☆8Updated 7 years ago
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- ☆27Updated 3 years ago
- Spiking Convolutional Neural Networks☆64Updated 5 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆25Updated 5 years ago
- Supervised Spiking Network☆79Updated 2 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Updated 5 years ago
- spiking-neural-networks☆36Updated last year
- Long short-term memory Spiking Neural Networks☆99Updated 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
- Reinforcement Learning for Spiking Neural Networks☆79Updated 3 months ago
- ☆13Updated 4 years ago