UCI-CARL / CARLsim4Links
CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
☆85Updated 2 years ago
Alternatives and similar repositories for CARLsim4
Users that are interested in CARLsim4 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.☆261Updated this 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
- The SpiNNaker implementation of the PyNN neural networking language☆113Updated this week
- A Python package for simulator-independent specification of neuronal network models.☆297Updated 2 weeks ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆103Updated 7 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆49Updated this week
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆167Updated 6 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
- Brian 2 frontend to the GeNN simulator☆48Updated last month
- A brian2 extension to simulate spiking neural networks on GPUs☆65Updated 9 months ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆394Updated 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
- The NEST simulator☆603Updated last week
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆382Updated 2 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆57Updated 7 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆131Updated 5 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆34Updated last week
- Tutorial for surrogate gradient learning in spiking neural networks☆335Updated last year
- ☆96Updated last year
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated 2 years ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆41Updated 3 weeks ago
- ☆351Updated 3 years ago
- A Loihi emulator based on Brian2☆29Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆105Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆70Updated 6 years ago
- My tensorflow sandbox☆56Updated 6 years ago
- ☆142Updated 4 years ago
- Run Nengo models on Intel's Loihi chip☆39Updated 6 months ago