UCI-CARL / CARLsim5Links
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.
☆18Updated 3 years ago
Alternatives and similar repositories for CARLsim5
Users that are interested in CARLsim5 are comparing it to the libraries listed below
Sorting:
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆377Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆20Updated 3 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated last year
- A Liquid State Machine using quantized neurons that are operating on lower-bit representations and fixed point computations. It provides …☆14Updated last year
- GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.☆255Updated this week
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆165Updated 6 years ago
- The SpiNNaker implementation of the PyNN neural networking language☆112Updated 2 weeks ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆33Updated 5 years ago
- A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).☆10Updated 10 years 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
- 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
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆133Updated 4 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆49Updated last month
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.☆12Updated 2 years ago
- ☆42Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆101Updated 4 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆27Updated 2 years ago
- ☆92Updated last year
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Updated 6 years ago
- ☆31Updated 6 months ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆30Updated 3 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆61Updated 4 years ago
- ☆348Updated 3 years ago
- A Python package for simulator-independent specification of neuronal network models.☆292Updated 3 months ago
- Some of my initial studies using spiking neural networks and Python☆37Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago