machenslab / spikes

Related projects ⓘ

Alternatives and complementary repositories for spikes

• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆33Updated 4 years ago
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆22Updated 3 years ago
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆37Updated 3 years ago
• LDlabs / seqMultiTaskRNN
  sequential learning in orthogonal subspaces
  ☆12Updated 4 years ago
• rkim35 / spikeRNN
  ☆36Updated 4 years ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆53Updated last year
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆55Updated 6 years ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆49Updated 4 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆11Updated last year
• IGITUGraz / eligibility_propagation
  ☆87Updated 8 months ago
• caglarcakan / stimulus_neural_populations
  A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …
  ☆16Updated 4 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆32Updated 6 years ago
• npvoid / neural_heterogeneity
  ☆27Updated 3 years ago
• zhouyanasd / Paper-codes-of-SAES
  Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"
  ☆10Updated last year
• mackelab / multispike_tempotron
  To identify features by aggregate-label learning in spiking neurons
  ☆14Updated 6 years ago
• sompolinsky-lab / dnn-object-manifolds
  ☆46Updated 3 years ago
• thomasaimondy / SBP
  The biologically plausible self backpropagation on SNNs and ANNs
  ☆11Updated 3 years ago
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆51Updated last year
• jmsbrcwll / SpikeProp
  spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals
  ☆17Updated 10 years ago
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆25Updated last year
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆59Updated 3 years ago
• eminorhan / recurrent-memory
  When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
  ☆15Updated 5 years ago
• NeuromorphicComputing / STPN
  ☆28Updated last year
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆29Updated 7 months 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…
  ☆66Updated 5 years ago
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆24Updated last week
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆36Updated 3 years ago
• timkimd / plnde
  Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
  ☆9Updated 3 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆89Updated 3 months ago