dieuwkehupkes / TempotronView external linksLinks
☆66Jan 19, 2022Updated 4 years ago
Alternatives and similar repositories for Tempotron
Users that are interested in Tempotron are comparing it to the libraries listed below
Sorting:
- Python implementation of a tempotron classifier for the MNIST dataset.☆14Feb 3, 2019Updated 7 years ago
- a spiking neural network module, tempotron for classification☆17Jan 13, 2021Updated 5 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆18Feb 12, 2014Updated 12 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Feb 19, 2018Updated 7 years ago
- This is a project for the proposed Homeostasis-based ANN-to-SNN conversion for Inception and Residual architecture.☆10Nov 7, 2018Updated 7 years ago
- Implementation of a Spiking Neural Network in Tensorflow.☆24May 13, 2018Updated 7 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
- ☆26Feb 2, 2026Updated last week
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Jun 11, 2022Updated 3 years ago
- spiking-neural-networks☆38Oct 4, 2025Updated 4 months ago
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆397Sep 7, 2021Updated 4 years ago
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆12Jan 17, 2023Updated 3 years ago
- Brian is a free, open source simulator for spiking neural networks.☆1,118Feb 5, 2026Updated last week
- Simulation of spiking neural networks (SNNs) using PyTorch.☆1,654Updated this week
- Reproducing Spiking Transformers using Briancog☆14Apr 10, 2025Updated 10 months ago
- Reinforcement Learning for Spiking Neural Networks☆87Aug 14, 2024Updated last year
- PyTorch implementation of SLAYER for training Spiking Neural Networks☆325May 30, 2025Updated 8 months ago
- A Matlab implementation of the spiking HFIRST model for recognition☆12Jun 14, 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
- ☆32Jan 15, 2019Updated 7 years ago
- Inceptive Event Time Surfaces (ICIAR 2019)☆13May 29, 2020Updated 5 years ago
- Diverse, Noisy and Parallel: a New Spiking Neural Network Approach for Humanoid Robot Control☆16Jul 14, 2021Updated 4 years ago
- The SpiNNaker implementation of the PyNN neural networking language☆115Updated this week
- Spiking Convolutional Neural Networks☆69Dec 7, 2018Updated 7 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆84Feb 17, 2023Updated 2 years ago
- Matlab toolbox for processing Celex-IV DVS data.☆20Apr 25, 2019Updated 6 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆171Jun 10, 2019Updated 6 years ago
- Repo for "PIX2NVS: Parameterized conversion of pixel-domain video frames to neuromorphic vision streams" ICIP2017☆22Oct 4, 2021Updated 4 years ago
- ☆17Feb 18, 2022Updated 3 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆136Feb 24, 2021Updated 4 years ago
- Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion☆17Feb 24, 2019Updated 6 years ago
- A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.☆48Mar 9, 2020Updated 5 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆26Apr 19, 2024Updated last year
- Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and…☆28Sep 4, 2017Updated 8 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
- an implementation of 'Recurrent Convolutional Neural Network for Object Recognition'☆26Sep 26, 2019Updated 6 years ago
- ☆31Jan 9, 2025Updated last year
- Tools for manipulating .aedat files (timestamped address-event data from neuromorphic hardware), in Matlab and Python☆27Nov 3, 2017Updated 8 years ago
- 自监督目标检测。针对目标检测任务，提出无需标签数据的自监督算法预训练 backbone，检测性能优于有标签的预训练。☆29Apr 28, 2022Updated 3 years ago