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A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码,正在持续更新中。
Created
2023-02-21
175 commits to master branch, last one 7 days ago
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
replay
split-mnist
distillation
deep-learning
brain-inspired
permuted-mnist
split-cifar100
internal-replay
generative-replay
lifelong-learning
continual-learning
incremental-learning
synaptic-intelligence
replay-through-feedback
variational-autoencoder
artificial-neural-networks
elastic-weight-consolidation
Created
2020-08-04
10 commits to master branch, last one 3 years ago
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Created
2023-04-07
175 commits to master branch, last one about a month ago
Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024,Spotlight 3%)
Created
2023-07-21
74 commits to master branch, last one 8 days ago
The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System""
Created
2022-03-14
9 commits to main branch, last one about a year ago
Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324
Created
2019-02-20
72 commits to master branch, last one 3 years ago
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Created
2023-05-08
169 commits to master branch, last one 4 months ago