nest / nest-simulatorLinks
The NEST simulator
☆581Updated this week
Alternatives and similar repositories for nest-simulator
Users that are interested in nest-simulator are comparing it to the libraries listed below
Sorting:
- GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.☆254Updated 2 weeks ago
- A Python package for simulator-independent specification of neuronal network models.☆291Updated 2 months ago
- Brian is a free, open source simulator for spiking neural networks.☆1,015Updated this week
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆389Updated 3 years ago
- NEURON Simulator☆446Updated this week
- Python exercises accompanying the book "Neuronal Dynamics"☆260Updated 10 months ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆375Updated 2 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆226Updated 10 months ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆732Updated 2 weeks ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 2 months ago
- Simulator optimized for large scale neural network simulations.☆138Updated 2 years ago
- The SpiNNaker implementation of the PyNN neural networking language☆110Updated this week
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,586Updated last week
- A large-scale spiking model of the vision-related areas of macaque cortex.☆74Updated 2 months ago
- A Software Framework for Neuromorphic Computing☆610Updated 2 weeks ago
- A Python library for creating and simulating large-scale brain models☆868Updated last week
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆268Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆318Updated 10 months ago
- A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.☆45Updated 5 years ago
- ☆345Updated 3 years ago
- 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
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆162Updated 5 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- A GPU library for simulation of large scale networks of biological neurons