Alternatives and similar repositories for eCD

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

• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆58Updated 7 years ago
• jmsbrcwll / SpikeProp
  spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals
  ☆18Updated 11 years ago
• dannyneil / spiking_relu_conversion
  ☆71Updated 10 years ago
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆86Updated last year
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆48Updated 3 weeks ago
• fzenke / auryn
  Auryn: A fast simulator for spiking neural networks with synaptic plasticity
  ☆106Updated 10 months ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆85Updated 8 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…
  ☆61Updated 2 years ago
• brian-team / brian-material
  This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.
  ☆41Updated last year
• 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
• ModelDBRepository / 190565
  Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
  ☆21Updated 7 years ago
• EPFL-LCN / neuronaldynamics-exercises
  Python exercises accompanying the book "Neuronal Dynamics"
  ☆272Updated last year
• SpiNNakerManchester / sPyNNaker
  The SpiNNaker implementation of the PyNN neural networking language
  ☆115Updated this week
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆75Updated 5 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆66Updated last month
• rkim35 / spikeRNN
  ☆41Updated 5 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆170Updated 6 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 6 years ago
• johannesmik / neurons
  Python simulations of neuron models like SRM and STDP
  ☆35Updated 10 years ago
• NeuralEnsemble / PyNN
  A Python package for simulator-independent specification of neuronal network models.
  ☆299Updated 3 months ago
• baccuslab / deep-retina
  deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…
  ☆58Updated 2 years ago
• dannyneil / edbn
  Event-based deep belief network offline training algorithm
  ☆22Updated 11 years ago
• peter-u-diehl / stdp-mnist
  ☆357Updated 3 years ago
• colinator / spikeflow
  Python library for easy creation and running of spiking neural networks in tensorflow.
  ☆32Updated 6 years ago
• UCI-CARL / CARLsim3
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆58Updated 7 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆55Updated 9 years ago
• neural-reckoning / cosyne-tutorial-2022
  Cosyne workshop tutorial 2022
  ☆126Updated 3 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 4 years ago
• chrhenning / snn_global_pattern_induction
  Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…
  ☆14Updated 7 years ago