BINDS-LAB-UMASS / snn-minibatchLinks
Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"
☆14Updated 5 years ago
Alternatives and similar repositories for snn-minibatch
Users that are interested in snn-minibatch are comparing it to the libraries listed below
Sorting:
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- ☆42Updated 5 years ago
- ☆93Updated last year
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- ☆31Updated 7 months 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
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆11Updated 3 years ago
- ☆70Updated 3 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- Supervised Spiking Network☆81Updated 3 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- ☆45Updated 3 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆65Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated last year
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆318Updated 2 months ago
- ☆34Updated 5 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆390Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- ☆38Updated 3 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 8 years ago
- ☆142Updated 4 years ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆269Updated 2 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆72Updated 2 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆166Updated 6 years ago