peter-u-diehl / stdp-mnistView external linksLinks
☆358Mar 3, 2022Updated 3 years ago
Alternatives and similar repositories for stdp-mnist
Users that are interested in stdp-mnist are comparing it to the libraries listed below
Sorting:
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆136Feb 24, 2021Updated 4 years ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆397Sep 7, 2021Updated 4 years ago
- Pure python implementation of SNN☆1,170Jul 29, 2022Updated 3 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆133Jun 6, 2017Updated 8 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Mar 15, 2018Updated 7 years ago
- ☆72Aug 20, 2015Updated 10 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,654Updated this week
- Spiking Convolutional Neural Networks☆69Dec 7, 2018Updated 7 years ago
- Spatio-temporal BP for SNNs☆237May 17, 2022Updated 3 years ago
- Brian is a free, open source simulator for spiking neural networks.☆1,118Feb 5, 2026Updated last week
- ☆70Sep 21, 2021Updated 4 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆32Mar 28, 2022Updated 3 years ago
- Basic SNN propogating spikes between LIF neurons☆87Aug 28, 2018Updated 7 years ago
- Python implementation of a tempotron classifier for the MNIST dataset.☆14Feb 3, 2019Updated 7 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆139Oct 22, 2020Updated 5 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 7 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Nov 8, 2021Updated 4 years ago
- ☆66Jan 19, 2022Updated 4 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆35Jul 5, 2018Updated 7 years ago
- spiking-neural-networks☆38Oct 4, 2025Updated 4 months ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Jul 31, 2024Updated last year
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Aug 2, 2017Updated 8 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Sep 15, 2020Updated 5 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆50Nov 9, 2020Updated 5 years ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆276Nov 6, 2022Updated 3 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Oct 28, 2022Updated 3 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆27May 25, 2016Updated 9 years ago
- This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.☆28Aug 7, 2019Updated 6 years ago
- a spiking neural network module, tempotron for classification☆17Jan 13, 2021Updated 5 years ago
- Spiking MLP built using BRIAN☆30Aug 31, 2017Updated 8 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆352Jul 25, 2024Updated last year
- Python simulations of neuron models like SRM and STDP☆35Jul 7, 2015Updated 10 years ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆14May 1, 2018Updated 7 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆787Feb 4, 2026Updated last week
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Nov 20, 2020Updated 5 years ago
- Brian2 version of stdp-mnist☆10Jan 13, 2022Updated 4 years ago
- Event-based deep belief network offline training algorithm☆22May 29, 2014Updated 11 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Nov 25, 2017Updated 8 years ago
- Spiking Neural Networks in C++ with strong GPU acceleration through CUDA☆135Jul 3, 2020Updated 5 years ago