byin-cwi / sFPTT
FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
☆50Updated 2 years ago
Alternatives and similar repositories for sFPTT:
Users that are interested in sFPTT are comparing it to the libraries listed below
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆14Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆78Updated last year
- ☆35Updated last year
- ☆28Updated 3 weeks ago
- Tutorial for surrogate gradient learning in spiking neural networks☆41Updated 6 months ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆52Updated 9 months ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆67Updated this week
- ☆89Updated 10 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆56Updated last year
- Training Recurrent Neural Networks via Forward Propagation Through Time☆37Updated 3 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆12Updated 2 years ago
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆27Updated 7 months ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- ☆43Updated 2 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆23Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆31Updated 5 months ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆84Updated last year
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆28Updated last year
- Neuromorphic Intermediate Representation reference implementation☆88Updated 2 months ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆28Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆51Updated 3 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆59Updated 4 years ago
- ☆13Updated 4 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆36Updated 2 years ago
- Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT☆27Updated 5 months ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago