laurence-lin / tempotronLinks
a spiking neural network module, tempotron for classification
☆17Updated 4 years ago
Alternatives and similar repositories for tempotron
Users that are interested in tempotron are comparing it to the libraries listed below
Sorting:
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆26Updated 5 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 4 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆47Updated 4 years ago
- Meta-Dynamic Neurons improved Spatio-temporal Generalization of Spiking Neural Networks☆9Updated 4 years ago
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 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
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆85Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆29Updated 3 years ago
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Updated 2 years ago
- ☆45Updated 2 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆29Updated 4 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆100Updated 4 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆41Updated 9 months ago
- The code for tuning Spiking Neural Network based on Biologically-plausible Reward Propagation☆12Updated 4 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆70Updated last year
- ☆13Updated 4 years ago
- spiking-neural-networks☆37Updated 4 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- 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 Long Short Term Spiking NN☆39Updated 2 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆14Updated last year
- Convolutional spiking neural network implementing STDP☆20Updated 2 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- ☆70Updated 3 years ago