Alternatives and similar repositories for brian2

Users that are interested in brian2 are comparing it to the libraries listed below

• nest / nest-simulator
  The NEST simulator
  ☆603Updated last week
• NeuralEnsemble / PyNN
  A Python package for simulator-independent specification of neuronal network models.
  ☆297Updated 2 weeks ago
• nengo / nengo
  A Python library for creating and simulating large-scale brain models
  ☆886Updated 4 months ago
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆394Updated 4 years ago
• BindsNET / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆1,626Updated last week
• norse / norse
  Deep learning with spiking neural networks (SNNs) in PyTorch.
  ☆764Updated 2 weeks ago
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆382Updated 2 years ago
• Shikhargupta / Spiking-Neural-Network
  Pure python implementation of SNN
  ☆1,142Updated 3 years ago
• genn-team / genn
  GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
  ☆261Updated this week
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆335Updated last year
• peter-u-diehl / stdp-mnist
  ☆351Updated 3 years ago
• lava-nc / lava
  A Software Framework for Neuromorphic Computing
  ☆647Updated 2 months ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• EPFL-LCN / neuronaldynamics-exercises
  Python exercises accompanying the book "Neuronal Dynamics"
  ☆265Updated last year
• guillaume-chevalier / Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
  What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…
  ☆269Updated 2 years ago
• neuronsimulator / nrn
  NEURON Simulator
  ☆471Updated this week
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆167Updated 6 years ago
• SpiNNakerManchester / sPyNNaker
  The SpiNNaker implementation of the PyNN neural networking language
  ☆113Updated last week
• 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…
  ☆70Updated 6 years ago
• UCI-CARL / CARLsim4
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆85Updated 2 years ago
• brainpy / BrainPy
  Brain Dynamics Programming in Python
  ☆634Updated this week
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆48Updated last month
• open-neuromorphic / open-neuromorphic
  A list of neuromorphic software projects
  ☆257Updated 2 months ago
• zxzhijia / Brian2STDPMNIST
  Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
  ☆134Updated 4 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆129Updated 8 years ago
• jeshraghian / snntorch
  Deep and online learning with spiking neural networks in Python
  ☆1,726Updated last month
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆43Updated last year
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆320Updated 4 months ago
• fzenke / auryn
  Auryn: A fast simulator for spiking neural networks with synaptic plasticity
  ☆103Updated 6 months ago
• UCI-CARL / CARLsim6
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆49Updated last week