ZhangShimin1 / TC-LIF
Two-Compartment Leaky Integrate-and-Fire Model
☆13Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for TC-LIF
- Create a new backward path for more accurate SNN gradients.☆13Updated 3 months ago
- Offical implementation of "Temporal-wise Attention Spiking Neural Networks for Event Streams Classification" (ICCV2021)☆16Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆46Updated 7 months ago
- SyOPs counter for spiking neural networks☆49Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆35Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆62Updated 6 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆46Updated 2 years ago
- ☆30Updated 11 months ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆44Updated 8 months ago
- Deep Residual Learning in Spiking Neural Networks☆149Updated 2 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆95Updated 2 years ago
- Code for temporal efficient training☆56Updated 3 months 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。☆18Updated 2 years ago
- ☆45Updated 10 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆53Updated 11 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆49Updated last year
- Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023☆19Updated last year
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated last year
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆81Updated last month
- ☆48Updated last year
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆81Updated last year
- Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"☆24Updated last year
- ☆21Updated last year
- ☆15Updated 11 months ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆49Updated 6 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated last year
- ☆28Updated last year
- Threshold annealing in binarized spiking neural networks☆14Updated 2 years ago