Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksLinks
PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)
☆31Updated 3 years ago
Alternatives and similar repositories for Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-Networks
Users that are interested in Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 2 years ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆53Updated 2 years ago
- Create a new backward path for more accurate SNN gradients.☆17Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆72Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆65Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆185Updated 3 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆60Updated 8 months ago
- ☆31Updated 2 years ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆20Updated 2 years ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆60Updated last year
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
- Awesome Spiking Neural Networks☆141Updated 8 months ago
- An event-driven learning algorithm for spiking neural networks☆30Updated last year
- ☆55Updated last year
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆53Updated 3 years ago
- ☆57Updated 2 years ago
- ☆20Updated last year
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆87Updated last year
- ☆14Updated 4 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆19Updated 10 months ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆69Updated 11 months ago
- ☆55Updated 3 years ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆35Updated 3 years ago
- Official code of "AutoSNN: Towards Energy-Efficient Spiking Neural Networks," ICML22☆18Updated 3 years ago
- Spikingformer: A Key Foundation Model for Spiking Neural Networks (AAAI 2026)☆114Updated 2 weeks ago
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆44Updated 2 years ago
- ☆29Updated 5 years ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆44Updated last year