Alternatives and similar repositories for spikingburstprop

Users that are interested in spikingburstprop are comparing it to the libraries listed below

• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆38Updated 4 years ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆71Updated 3 years ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆53Updated 5 years ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆90Updated 4 years ago
• rkim35 / spikeRNN
  ☆41Updated 5 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆40Updated 2 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆56Updated last year
• machenslab / spikes
  Code for spike coding networks
  ☆16Updated 5 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated 2 years ago
• Devrim-Celik / interactive_neuron_model_simulator
  Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…
  ☆69Updated 6 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆66Updated last month
• fmi-basel / latent-predictive-learning
  Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…
  ☆29Updated 11 months ago
• neural-reckoning / cosyne-tutorial-2022
  Cosyne workshop tutorial 2022
  ☆126Updated 3 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆58Updated 7 years ago
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆36Updated 5 years ago
• IGITUGraz / eligibility_propagation
  ☆103Updated last year
• snel-repo / neural-data-transformers
  ☆83Updated 3 years ago
• sompolinsky-lab / dnn-object-manifolds
  ☆52Updated 4 years ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆30Updated 4 years ago
• djcrw / generalising-structural-knowledge
  ☆201Updated 3 years ago
• dtyulman / hebbff
  Meta-learning local synaptic plasticity for continual familiarity detection
  ☆16Updated 3 years ago
• NeuromorphicComputing / SoftHebb
  ☆92Updated last year
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆48Updated 3 weeks ago
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆43Updated 11 months ago
• gyyang / olfaction_evolution
  ☆21Updated 4 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• BrainCOGS / HPC_manifolds
  Analysis of hippocampal activity in the towers task
  ☆23Updated 4 years ago
• jordan-g / PyTorch-Feedback-Alignment-Layers
  PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.
  ☆14Updated 4 years ago