nasiryahm / SNNSimulatorComparisonLinks
Comparison of Spiking Neural Network Simulator Performance
☆21Updated 6 years ago
Alternatives and similar repositories for SNNSimulatorComparison
Users that are interested in SNNSimulatorComparison are comparing it to the libraries listed below
Sorting:
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆63Updated 4 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- Supervised Spiking Network☆81Updated 3 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
- 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
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Updated last year
- This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…☆32Updated 5 years ago
- spiking-neural-networks☆37Updated last month
- Long short-term memory Spiking Neural Networks☆107Updated 5 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Updated 5 years ago
- The SpiNNaker implementation of the PyNN neural networking language☆114Updated this week
- ☆42Updated 6 years ago
- Some of my initial studies using spiking neural networks and Python☆39Updated 3 years ago
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- ☆38Updated 4 years ago
- SpiNNaker based Nengo simulator.☆14Updated 8 years ago
- ☆46Updated 3 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆60Updated 2 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.☆168Updated 6 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
- ☆38Updated 3 years ago
- Run Nengo models on Intel's Loihi chip☆39Updated 8 months ago
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆65Updated 10 months ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 6 years ago
- 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
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆100Updated 3 months ago