zhouyanasd / Paper-codes-of-SAESLinks
Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"
☆12Updated 2 years ago
Alternatives and similar repositories for Paper-codes-of-SAES
Users that are interested in Paper-codes-of-SAES are comparing it to the libraries listed below
Sorting:
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- ☆17Updated 4 years ago
- ☆13Updated 5 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆72Updated last year
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Updated 4 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆16Updated 2 years ago
- ☆46Updated 3 years ago
- ☆29Updated 4 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Updated 4 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- ☆14Updated 3 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Neuron-Astrocyte Liquid State Machine☆22Updated 3 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated last year
- The code for tuning Spiking Neural Network based on Biologically-plausible Reward Propagation☆11Updated 4 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- a spiking neural network module, tempotron for classification☆17Updated 4 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
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆28Updated 6 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 10 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆58Updated 2 years ago
- A Liquid State Machine using quantized neurons that are operating on lower-bit representations and fixed point computations. It provides …☆15Updated last year
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆18Updated 4 years ago
- spiking-neural-networks☆37Updated last month
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago
- ☆46Updated last year
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆47Updated 3 years ago
- ☆30Updated 10 months ago