BINDS-LAB-UMASS / snn-minibatchLinks
Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"
☆14Updated 6 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:
- ☆97Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- Long short-term memory Spiking Neural Networks☆106Updated 5 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
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
- ☆70Updated 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
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- ☆42Updated 6 years ago
- ☆38Updated 3 years ago
- ☆30Updated 10 months ago
- Supervised Spiking Network☆81Updated 3 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 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…☆273Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 3 years ago
- ☆34Updated 5 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆132Updated 8 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆60Updated 2 years ago
- ☆46Updated 3 years ago
- Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]☆73Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆343Updated last year
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 4 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆395Updated 4 years ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Updated 5 years ago