Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
☆171Jun 10, 2019Updated 6 years ago
Alternatives and similar repositories for lm-snn
Users that are interested in lm-snn are comparing it to the libraries listed below
Sorting:
- ☆363Mar 3, 2022Updated 4 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
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆133Jun 6, 2017Updated 8 years ago
- ☆71Sep 21, 2021Updated 4 years ago
- spiking-neural-networks☆38Oct 4, 2025Updated 5 months ago
- 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
- 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
- Spiking Convolutional Neural Networks☆69Dec 7, 2018Updated 7 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆136Feb 24, 2021Updated 5 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆392Jan 13, 2023Updated 3 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆231Jul 31, 2024Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆59Jul 16, 2018Updated 7 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
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆35Jul 5, 2018Updated 7 years ago
- Some of my initial studies using spiking neural networks and Python☆38Mar 3, 2022Updated 4 years ago
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Jun 10, 2019Updated 6 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Sep 15, 2020Updated 5 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Oct 28, 2022Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆32Mar 28, 2022Updated 3 years ago
- Spiking MLP built using BRIAN☆30Aug 31, 2017Updated 8 years ago
- ☆42Sep 4, 2019Updated 6 years ago
- a spiking neural network module, tempotron for classification☆17Jan 13, 2021Updated 5 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Feb 29, 2024Updated 2 years ago
- Spiking CNN for object recognition☆12Apr 26, 2017Updated 8 years ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆59Jan 21, 2018Updated 8 years ago
- Deep learning with spiking neural networks (SNNs) in PyTorch.☆792Feb 9, 2026Updated 3 weeks ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18May 9, 2019Updated 6 years ago
- Reinforcement Learning for Spiking Neural Networks☆88Aug 14, 2024Updated last year
- Brian is a free, open source simulator for spiking neural networks.☆1,126Updated this week
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆139Oct 22, 2020Updated 5 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆47Aug 30, 2024Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆53Aug 20, 2021Updated 4 years ago
- Differentiate notes using a spiking neural network☆49Nov 29, 2021Updated 4 years ago
- Implementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matth…☆13Oct 6, 2019Updated 6 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Feb 15, 2023Updated 3 years ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Dec 7, 2021Updated 4 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆108Mar 11, 2025Updated 11 months ago
- ☆14May 15, 2020Updated 5 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆65Dec 29, 2020Updated 5 years ago