dieuwkehupkes / Tempotron

Related projects: ⓘ

• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆62Updated 5 years ago
• Squirtle-gpj / STCA-DSNN
  This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.
  ☆24Updated 5 years ago
• Sabnam-Mustari / Iris_SNN
  Feedforward spiking neural network has been trained with SpikeProp algorithm
  ☆22Updated 6 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆36Updated last year
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆148Updated 5 years ago
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆119Updated 3 years ago
• zxzhijia / Brian2STDPMNIST
  Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
  ☆128Updated 3 years ago
• gorchard / event-Python
  Python code for event based vision
  ☆63Updated 4 years ago
• nmi-lab / dcll
  ☆41Updated 5 years ago
• gorchard / Spiking_Motion
  Matlab code for a Spiking Neural Network for Visual Motion Estimation
  ☆24Updated 5 years ago
• QQQYang / snn
  construct a spiking neural network
  ☆23Updated 6 years ago
• laurence-lin / tempotron
  a spiking neural network module, tempotron for classification
  ☆15Updated 3 years ago
• yjwu17 / STBP-for-training-SpikingNN
  Spatio-temporal BP for SNNs
  ☆205Updated 2 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆66Updated 5 months ago
• tudelft / cuSNN
  Spiking Neural Networks in C++ with strong GPU acceleration through CUDA
  ☆120Updated 4 years ago
• ajaykarpur / tempotron-classifier
  Python implementation of a tempotron classifier for the MNIST dataset.
  ☆13Updated 5 years ago
• roberthangu / snn_object_recognition
  One-Shot Object Appearance Learning using Spiking Neural Networks
  ☆23Updated 5 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆94Updated 3 years ago
• peter-u-diehl / stdp-mnist
  ☆327Updated 2 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆36Updated 2 years ago
• hewh16 / SNNs-RNNs
  The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
  ☆50Updated 3 years ago
• IbrahimYang / Hybrid-neural-networks
  ☆32Updated 9 months ago
• XDUSPONGE / SNN_benchmark
  ☆248Updated 3 years ago
• npvoid / SDNN_python
  ☆66Updated 2 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 5 years ago
• Shikhargupta / snn-brian-mlp
  Spiking MLP built using BRIAN
  ☆31Updated 7 years ago
• haoyz / sym-STDP-SNN
  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
• Sabnam-Mustari / Spike-Response-Model
  Feedforward multilayer spiking neural network with SRM0 model. Gaussian receptive field has been used for information encoding
  ☆10Updated 6 years ago
• wangxiao5791509 / SNN_CV_Applications_Resources
  Paper list for SNN based computer vision tasks.
  ☆109Updated last week
• saunak1994 / SNNforMNIST
  A Spiking Neural Network Architecture for MNIST Digit Recognition
  ☆31Updated 6 years ago