combra-lab / NALSMLinks
Neuron-Astrocyte Liquid State Machine
☆22Updated 3 years ago
Alternatives and similar repositories for NALSM
Users that are interested in NALSM are comparing it to the libraries listed below
Sorting:
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Updated 2 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆36Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆57Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆64Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆54Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆106Updated 5 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆27Updated 4 months ago
- ☆46Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆44Updated last year
- ☆46Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- ☆55Updated 2 years ago
- ☆96Updated last year
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 9 months ago
- ☆28Updated 4 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆27Updated 6 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
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆111Updated 3 years ago
- ☆16Updated 4 years ago
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆45Updated 3 years ago