Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Chenlin, Zhang, Han, Yu, Liutao, Ye, Yumin, Zhou, Zhaokun, Huang, Liwei, Ma, Zhengyu, Fan, Xiaopeng, Zhou, Huihui, Tian, Yonghong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spikingformer: A Key Foundation Model for Spiking Neural Networks
by: Zhou, Chenlin, et al.
Published: (2023)
by: Zhou, Chenlin, et al.
Published: (2023)
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
by: Zhou, Chenlin, et al.
Published: (2024)
by: Zhou, Chenlin, et al.
Published: (2024)
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
by: Huang, Liwei, et al.
Published: (2023)
by: Huang, Liwei, et al.
Published: (2023)
Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025)
by: Xue, Peng, et al.
Published: (2025)
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)
by: Huang, Liwei, et al.
Published: (2024)
A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks
by: Meng, Qingyan, et al.
Published: (2025)
by: Meng, Qingyan, et al.
Published: (2025)
Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)
by: Che, Kaiwei, et al.
Published: (2024)
Adaptive Spiking Neurons for Vision and Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)
by: Zhou, Chenlin, et al.
Published: (2026)
Winner-Take-All Spiking Transformer for Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)
by: Zhou, Chenlin, et al.
Published: (2026)
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
by: Zhu, Xueke, et al.
Published: (2024)
by: Zhu, Xueke, et al.
Published: (2024)
Scalable Dendritic Modeling Advances Expressive and Robust Deep Spiking Neural Networks
by: Huang, Yifan, et al.
Published: (2024)
by: Huang, Yifan, et al.
Published: (2024)
Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)
by: Che, Kaiwei, et al.
Published: (2024)
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
by: Fang, Wei, et al.
Published: (2023)
by: Fang, Wei, et al.
Published: (2023)
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
by: Yao, Man, et al.
Published: (2024)
by: Yao, Man, et al.
Published: (2024)
BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation
by: Guo, Sihang, et al.
Published: (2026)
by: Guo, Sihang, et al.
Published: (2026)
E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
by: Ma, Yunhao, et al.
Published: (2025)
by: Ma, Yunhao, et al.
Published: (2025)
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost
by: Hu, JiaKui, et al.
Published: (2024)
by: Hu, JiaKui, et al.
Published: (2024)
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)
by: Huang, Yulong, et al.
Published: (2024)
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Temporal-adaptive Weight Quantization for Spiking Neural Networks
by: Zhang, Han, et al.
Published: (2025)
by: Zhang, Han, et al.
Published: (2025)
PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)
by: Huang, Yulong, et al.
Published: (2024)
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition
by: Yu, Liutao, et al.
Published: (2024)
by: Yu, Liutao, et al.
Published: (2024)
Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition
by: Liu, Peiyu, et al.
Published: (2025)
by: Liu, Peiyu, et al.
Published: (2025)
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients
by: Zhou, Feifan, et al.
Published: (2026)
by: Zhou, Feifan, et al.
Published: (2026)
Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)
by: Huang, Yanbin, et al.
Published: (2026)
Direct-to-Event Spiking Neural Network Transfer
by: Luu, Nhan Trong, et al.
Published: (2026)
by: Luu, Nhan Trong, et al.
Published: (2026)
STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks
by: Gao, Haoran, et al.
Published: (2024)
by: Gao, Haoran, et al.
Published: (2024)
Deep Reinforcement Learning with Spiking Q-learning
by: Chen, Ding, et al.
Published: (2022)
by: Chen, Ding, et al.
Published: (2022)
Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems
by: Hwang, Chanwook, et al.
Published: (2025)
by: Hwang, Chanwook, et al.
Published: (2025)
Noisy Spiking Actor Network for Exploration
by: Chen, Ding, et al.
Published: (2024)
by: Chen, Ding, et al.
Published: (2024)
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
by: Xu, Zekai, et al.
Published: (2024)
by: Xu, Zekai, et al.
Published: (2024)
Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
by: Nhan, Luu Trong, et al.
Published: (2025)
by: Nhan, Luu Trong, et al.
Published: (2025)
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
by: Lee, Donghyun, et al.
Published: (2024)
by: Lee, Donghyun, et al.
Published: (2024)
Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
by: Hua, Yuan, et al.
Published: (2025)
by: Hua, Yuan, et al.
Published: (2025)
Full Integer Arithmetic Online Training for Spiking Neural Networks
by: Gomez, Ismael, et al.
Published: (2025)
by: Gomez, Ismael, et al.
Published: (2025)
Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
by: Zhang, Jieyuan, et al.
Published: (2025)
by: Zhang, Jieyuan, et al.
Published: (2025)
Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
by: Zhang, Shao-Qun, et al.
Published: (2026)
by: Zhang, Shao-Qun, et al.
Published: (2026)
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks
by: Qiu, Xuerui, et al.
Published: (2023)
by: Qiu, Xuerui, et al.
Published: (2023)
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
by: Aguettaz, Hugo, et al.
Published: (2024)
by: Aguettaz, Hugo, et al.
Published: (2024)
Similar Items
-
Spikingformer: A Key Foundation Model for Spiking Neural Networks
by: Zhou, Chenlin, et al.
Published: (2023) -
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
by: Zhou, Chenlin, et al.
Published: (2024) -
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
by: Huang, Liwei, et al.
Published: (2023) -
Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025) -
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)