UCI-CARL / CARLsim6Links
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.
☆49Updated last week
Alternatives and similar repositories for CARLsim6
Users that are interested in CARLsim6 are comparing it to the libraries listed below
Sorting:
- Neuromorphic Intermediate Representation reference implementation☆128Updated last month
- Tutorial for surrogate gradient learning in spiking neural networks☆327Updated last year
- A brian2 extension to simulate spiking neural networks on GPUs☆65Updated 8 months ago
- Dynamic Neural Fields with Lava☆46Updated last month
- GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.☆259Updated last week
- A Python package for simulator-independent specification of neuronal network models.☆296Updated last month
- Brian 2 frontend to the GeNN simulator☆47Updated last week
- A library for deep learning with Spiking Neural Networks (SNN).☆34Updated last week
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated 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
- ☆94Updated last year
- 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
- The SpiNNaker implementation of the PyNN neural networking language☆113Updated last week
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆394Updated 4 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated last year
- Cosyne workshop tutorial 2022☆121Updated 3 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆73Updated 2 months ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆41Updated last week
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 8 months 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
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆382Updated 2 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- A Loihi emulator based on Brian2☆29Updated 3 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆56Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- A list of neuromorphic software projects☆250Updated 2 months ago
- Event datasets and transforms.☆256Updated 3 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year