anglyan / spikingtorch
A pytorch implementation of spiking neural networks and backpropagation through spikes
☆11Updated 6 months ago
Alternatives and similar repositories for spikingtorch:
Users that are interested in spikingtorch are comparing it to the libraries listed below
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- ☆14Updated 3 years ago
- ☆21Updated 2 months ago
- ☆33Updated 5 years ago
- Supervised Spiking Network☆80Updated 2 years ago
- Spiking Neural Network to identify spoken letters☆8Updated 7 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆34Updated 5 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated last year
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- ☆90Updated last year
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆31Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Neurons learn by predicting future activity☆28Updated 3 years ago
- ☆28Updated last year
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆63Updated 2 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- Deep learning for spiking neural networks☆69Updated last year
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- ☆45Updated 2 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆13Updated 2 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 5 months ago
- Paper submission☆20Updated last year
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆25Updated 9 months ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- ☆17Updated 3 years ago