schatten / spiking

Related projects: ⓘ

• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆78Updated last month
• plotlabs / SNNs-In-Tensorflow
  Implementation of a Spiking Neural Network in Tensorflow.
  ☆24Updated 6 years ago
• mrahtz / musical-pattern-recognition-in-spiking-neural-networks
  Differentiate notes using a spiking neural network
  ☆48Updated 2 years ago
• MarcoSaku / Spiking-C3D
  Convolutional 3D Spiking Neural Network to classify videos
  ☆14Updated 7 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆36Updated last year
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆54Updated 6 years ago
• eneftci / eCD
  Event-Driven CD in Spiking Neural Networks
  ☆21Updated 8 years ago
• dannyneil / edbn
  Event-based deep belief network offline training algorithm
  ☆22Updated 10 years ago
• udion / Neurapse
  Nuerapse simulations for SNNs
  ☆24Updated 5 years ago
• djsaunde / spiketorch
  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
• SpikeFrame / TemporalEncoding
  Supervised learning in spiking neural networks for precise temporal encoding
  ☆18Updated 5 years ago
• jmsbrcwll / SpikeProp
  spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals
  ☆17Updated 10 years ago
• h-betz / NeuralNetwork
  Spiking Neural Network to identify spoken letters
  ☆8Updated 7 years ago
• dannyneil / spiking_relu_conversion
  ☆69Updated 9 years ago
• petered / pdnn
  Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes
  ☆16Updated 7 years ago
• BINDS-LAB-UMASS / bindsnet_experiments
  Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
  ☆66Updated last year
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆148Updated 5 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 5 years ago
• roberthangu / snn_object_recognition
  One-Shot Object Appearance Learning using Spiking Neural Networks
  ☆23Updated 5 years ago
• ModelDBRepository / 190565
  Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
  ☆18Updated 6 years ago
• brian-team / brian
  Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…
  ☆60Updated last year
• ricardodeazambuja / SNN-Experiments
  Some of my initial studies using spiking neural networks and Python
  ☆33Updated 2 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆62Updated 5 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆86Updated 7 years ago
• vikram-mm / Spiking-Neural-Network---Theano-Framework
  Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…
  ☆9Updated 7 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆119Updated 7 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆59Updated 3 years ago
• raphaelholca / hebbianCNN
  Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)
  ☆51Updated 6 years ago
• ajaykarpur / tempotron-classifier
  Python implementation of a tempotron classifier for the MNIST dataset.
  ☆13Updated 5 years ago
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆49Updated last year