jinyyy666 / mm-bp-snn
☆32Updated 5 years ago
Related projects: ⓘ
- Spiking Convolutional Neural Networks☆62Updated 5 years ago
- ☆41Updated 5 years ago
- spiking-neural-networks☆36Updated last year
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 5 years ago
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Updated 5 years ago
- Feedforward spiking neural network has been trained with SpikeProp algorithm☆22Updated 6 years ago
- ☆36Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆66Updated 5 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆54Updated 6 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 10 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 6 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆148Updated 5 years ago
- ☆69Updated 9 years ago
- Basic SNN propogating spikes between LIF neurons☆79Updated 6 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆94Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆29Updated 4 months ago
- ☆32Updated 4 years ago
- ☆66Updated 2 years ago
- Some of my initial studies using spiking neural networks and Python☆33Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆97Updated 4 years ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆9Updated 7 years ago
- Reinforcement Learning for Spiking Neural Networks☆78Updated last month
- Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.☆11Updated last year
- To identify features by aggregate-label learning in spiking neurons☆14Updated 6 years ago
- a spiking neural network module, tempotron for classification☆15Updated 3 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆27Updated 3 years ago
- This repo is the implementation of the spatio-temporal credit assignment (STCA) algorithm for training deep spiking neural networks.☆24Updated 5 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆46Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆34Updated 2 years ago
- ☆42Updated 2 years ago