genn-team / gennLinks
GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.
☆259Updated last week
Alternatives and similar repositories for genn
Users that are interested in genn are comparing it to the libraries listed below
Sorting:
- A Python package for simulator-independent specification of neuronal network models.☆296Updated last month
- 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
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 6 months ago
- The NEST simulator☆596Updated this week
- The SpiNNaker implementation of the PyNN neural networking language☆113Updated last week
- Brian 2 frontend to the GeNN simulator☆47Updated last week
- A brian2 extension to simulate spiking neural networks on GPUs☆65Updated 8 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆49Updated last week
- 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
- Simulator optimized for large scale neural network simulations.☆140Updated 2 years ago
- Brian is a free, open source simulator for spiking neural networks.☆1,054Updated this week
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- 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
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆394Updated 4 years ago
- NEURON Simulator☆465Updated last week
- Deep learning integration for Nengo☆91Updated 6 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆327Updated last year
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆70Updated 6 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- Python exercises accompanying the book "Neuronal Dynamics"☆265Updated last year
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆382Updated 2 years ago
- Some simple attempts at building GeNN models☆10Updated last month
- A Loihi emulator based on Brian2☆29Updated 3 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- A large-scale spiking model of the vision-related areas of macaque cortex.☆76Updated 6 months ago
- ☆142Updated 4 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆18Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆41Updated last week
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 8 months ago