MXHX7199 / SNN-SSTDPLinks
SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.
☆37Updated 4 years ago
Alternatives and similar repositories for SNN-SSTDP
Users that are interested in SNN-SSTDP are comparing it to the libraries listed below
Sorting:
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆55Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆58Updated 2 years ago
- Neuron-Astrocyte Liquid State Machine☆22Updated 3 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆33Updated last year
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆30Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆45Updated last year
- Quantization-aware training with spiking neural networks☆48Updated 3 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆16Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- Conversion from CNNs to SNNs using Tensorflow-Keras☆38Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Updated last year
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆47Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆27Updated 5 months ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆100Updated 3 months ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 4 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- ☆57Updated 2 years ago
- Original DVS128 Gesture Dataset in PyTorch☆13Updated 2 years ago
- Collect important papers about snn☆32Updated 4 years ago
- ☆46Updated last year
- ☆46Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆106Updated 5 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 4 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆32Updated 2 years ago
- ☆255Updated 4 years ago