combra-lab / NALSM
Neuron-Astrocyte Liquid State Machine
☆18Updated 3 years ago
Alternatives and similar repositories for NALSM:
Users that are interested in NALSM are comparing it to the libraries listed below
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆79Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆59Updated last year
- Threshold annealing in binarized spiking neural networks☆15Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆35Updated 7 months ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 3 years ago
- ☆41Updated last year
- ☆45Updated 2 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
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 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
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆50Updated 2 years ago
- Spiking Convolutional Neural Networks☆67Updated 6 years ago
- ☆16Updated 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
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆28Updated last year
- Code for training binary and WTA SNNs☆15Updated 3 years ago
- a spiking neural network module, tempotron for classification☆18Updated 4 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 11 months ago
- ☆51Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆13Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year