surrogate-gradient-learning / spytorch
Tutorial for surrogate gradient learning in spiking neural networks
☆43Updated 8 months ago
Alternatives and similar repositories for spytorch:
Users that are interested in spytorch are comparing it to the libraries listed below
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years ago
- Supervised Spiking Network☆79Updated 2 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆79Updated 2 years ago
- ☆37Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆15Updated 2 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆30Updated 11 months ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 9 months ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆29Updated last year
- ☆45Updated 2 years ago
- ☆29Updated 3 months ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- ☆89Updated last year
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆75Updated this week
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 3 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- ☆43Updated last year
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆23Updated 2 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆13Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆37Updated 7 months ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆18Updated 3 years ago
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 11 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆59Updated last year
- Code for training binary and WTA SNNs☆15Updated 3 years ago