laurence-lin / tempotron
a spiking neural network module, tempotron for classification
☆16Updated 4 years ago
Alternatives and similar repositories for tempotron:
Users that are interested in tempotron are comparing it to the libraries listed below
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆46Updated 4 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆25Updated 5 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
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆28Updated 4 years ago
- Spiking Convolutional Neural Networks☆66Updated 6 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆17Updated 4 years ago
- ☆13Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated last year
- ☆42Updated 5 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆14Updated last year
- ☆45Updated 2 years ago
- spiking-neural-networks☆36Updated last month
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆78Updated 2 years ago
- ☆29Updated last month
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆27Updated 2 years ago
- The repository offer the simulation scripts of three different single-layer SNN learning algorihtms proposed by Querlioz, Diehl and this …☆13Updated 5 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 10 months ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- The code for tuning Spiking Neural Network based on Biologically-plausible Reward Propagation☆11Updated 4 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆32Updated 6 years ago
- Threshold annealing in binarized spiking neural networks☆14Updated 2 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 7 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
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆28Updated 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 …☆28Updated 3 years ago