OFTNAI / SpikeLinks
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
Alternatives and similar repositories for Spike
Users that are interested in Spike are comparing it to the libraries listed below
Sorting:
- The SpiNNaker implementation of the PyNN neural networking language☆115Updated this week
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆55Updated 3 months ago
- Tutorial for surrogate gradient learning in spiking neural networks☆352Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆397Updated 4 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆108Updated 11 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆86Updated 2 years ago
- A Python package for simulator-independent specification of neuronal network models.☆300Updated 4 months ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Updated last year
- A brian2 extension to simulate spiking neural networks on GPUs☆66Updated 3 weeks ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆392Updated 3 years ago
- ☆144Updated 4 years ago
- GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.☆271Updated 3 weeks ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆64Updated 5 years ago
- Brian 2 frontend to the GeNN simulator☆48Updated last month
- Dynamic Neural Fields with Lava☆46Updated 3 weeks ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆58Updated 7 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆58Updated 8 years ago
- ☆102Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆59Updated 2 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆83Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆145Updated last week
- Long short-term memory Spiking Neural Networks☆109Updated 5 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Comparison of Spiking Neural Network Simulator Performance☆21Updated 6 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆171Updated 6 years ago
- Run Nengo models on Intel's Loihi chip☆39Updated 10 months ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 3 years ago
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325Updated 8 months ago