This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in IJCAI, 2022.
☆19Apr 29, 2022Updated 3 years ago
Alternatives and similar repositories for Conversion_Burst
Users that are interested in Conversion_Burst are comparing it to the libraries listed below
Sorting:
- This repository contains code from our paper "Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Sp…☆32Jun 11, 2022Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Nov 8, 2022Updated 3 years ago
- ☆30Oct 20, 2023Updated 2 years ago
- 该仓库主要收录了顶会中SNN领域的一些论文,论文内容与代理梯度和ANN-SNN转换相关。☆18Jun 16, 2022Updated 3 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Feb 18, 2023Updated 3 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆20Sep 30, 2021Updated 4 years ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Dec 24, 2022Updated 3 years ago
- ☆12Mar 24, 2021Updated 4 years ago
- YoloV6 for a bare Raspberry Pi using ncnn.☆11Jun 12, 2024Updated last year
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆25Dec 14, 2022Updated 3 years ago
- The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks…☆14Jul 4, 2021Updated 4 years ago
- official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"☆11Jun 4, 2024Updated last year
- An event based dataset loader under one common python API.☆10Mar 22, 2022Updated 3 years ago
- The 1st Spiking Transformer Benchmark (NeurIPS 2025)☆18Dec 29, 2025Updated 2 months ago
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆79Mar 16, 2023Updated 2 years ago
- [Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks☆16Nov 28, 2023Updated 2 years ago
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆13Apr 25, 2023Updated 2 years ago
- ☆59Aug 31, 2023Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year
- ☆14Dec 2, 2021Updated 4 years ago
- Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"☆22Aug 12, 2022Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆117Aug 9, 2022Updated 3 years ago
- ☆19Mar 13, 2023Updated 2 years ago
- ☆17Feb 18, 2022Updated 4 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆20Sep 26, 2023Updated 2 years ago
- ☆20Dec 14, 2023Updated 2 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
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆58Jan 2, 2023Updated 3 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆29May 3, 2024Updated last year
- Coming soon☆23Oct 15, 2024Updated last year
- Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…☆28Jun 10, 2025Updated 8 months ago
- Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Arti…☆604Nov 6, 2025Updated 3 months ago
- ☆24Nov 28, 2022Updated 3 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
- Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)☆185Apr 21, 2025Updated 10 months ago
- Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024☆36Oct 25, 2024Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆32Apr 22, 2024Updated last year
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Feb 17, 2023Updated 3 years ago