Alternatives and similar repositories for brian

Users that are interested in brian 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
• eneftci / eCD
  Event-Driven CD in Spiking Neural Networks
  ☆20Updated 9 years ago
• SpiNNakerManchester / sPyNNaker
  The SpiNNaker implementation of the PyNN neural networking language
  ☆115Updated this week
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆85Updated 8 years ago
• fzenke / auryn
  Auryn: A fast simulator for spiking neural networks with synaptic plasticity
  ☆107Updated 10 months ago
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆48Updated last month
• project-rig / nengo_spinnaker
  SpiNNaker based Nengo simulator.
  ☆14Updated 8 years ago
• dannyneil / edbn
  Event-based deep belief network offline training algorithm
  ☆22Updated 11 years ago
• nengo / nengo-dl
  Deep learning integration for Nengo
  ☆92Updated 10 months ago
• jpdominguez / Multilayer-SNN-for-audio-samples-classification-using-SpiNNaker
  This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…
  ☆32Updated 4 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 8 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆66Updated 2 weeks ago
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆87Updated last year
• MarcoSaku / Spiking-C3D
  Convolutional 3D Spiking Neural Network to classify videos
  ☆14Updated 8 years ago
• ANNarchy / ANNarchy
  ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.
  ☆43Updated this week
• 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 7 years ago
• NeuralEnsemble / PyNN
  A Python package for simulator-independent specification of neuronal network models.
  ☆300Updated 4 months ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆76Updated 5 years ago
• EPFL-LCN / neuronaldynamics-exercises
  Python exercises accompanying the book "Neuronal Dynamics"
  ☆274Updated last year
• Shikhargupta / Spiking-Restricted-Boltzmann-Machine
  RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
  ☆29Updated 8 years ago
• dannyneil / spiking_relu_conversion
  ☆72Updated 10 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆128Updated 4 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆116Updated last year
• nengo / nengo-examples
  Instructive examples using projects in the Nengo ecosystem
  ☆23Updated 2 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆72Updated 3 years ago
• NeuralEnsemble / NeuroTools
  NeuroTools is a collection of tools for representing and anlyzing neuroscientific data.
  ☆32Updated 5 years ago
• genn-team / genn
  GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.
  ☆271Updated 2 weeks ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆55Updated 9 years ago
• OFTNAI / Spike
  A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.
  ☆48Updated 5 years ago