Cover Image

High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, JiaKui, Yao, Man, Qiu, Xuerui, Chou, Yuhong, Cai, Yuxuan, Qiao, Ning, Tian, Yonghong, XU, Bo, Li, Guoqi
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks
by: Qiu, Xuerui, et al.
Published: (2023)

SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal Compression
by: Xu, Han, et al.
Published: (2026)

Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)

Scalable Dendritic Modeling Advances Expressive and Robust Deep Spiking Neural Networks
by: Huang, Yifan, et al.
Published: (2024)

Spike-driven Large Language Model
by: Xu, Han, et al.
Published: (2026)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
by: Yao, Man, et al.
Published: (2024)

Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
by: Wang, Kexin, et al.
Published: (2024)

When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
by: Qiu, Xuerui, et al.
Published: (2024)

Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
by: Ma, Chenxiang, et al.
Published: (2025)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025)

Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
by: Nhan, Luu Trong, et al.
Published: (2025)

Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
by: Zhou, Chenlin, et al.
Published: (2024)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
by: Lei, Zhenxin, et al.
Published: (2024)

Spiking Transformer with Spatial-Temporal Attention
by: Lee, Donghyun, et al.
Published: (2024)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

Adaptive Spiking Neurons for Vision and Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)

Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
by: Morrill, Todd, et al.
Published: (2026)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, 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)

Noisy Spiking Actor Network for Exploration
by: Chen, Ding, et al.
Published: (2024)

Winner-Take-All Spiking Transformer for Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)

Spatio-Temporal Decoupled Learning for Spiking Neural Networks
by: Ma, Chenxiang, et al.
Published: (2025)

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
by: Bal, Malyaban, et al.
Published: (2023)

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
by: Yao, Yunpeng, et al.
Published: (2024)

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
by: Shen, Sicheng, et al.
Published: (2026)

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
by: Xu, Boxun, et al.
Published: (2025)

SpikingGamma: Surrogate-Gradient Free and Temporally Precise Online Training of Spiking Neural Networks with Smoothed Delays
by: Koopman, Roel, et al.
Published: (2026)

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2023)

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
by: Lee, Donghyun, et al.
Published: (2024)

Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation
by: Dong, Yiting, et al.
Published: (2025)

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
by: Baronig, Maximilian, et al.
Published: (2024)

Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
by: Hua, Yuan, et al.
Published: (2025)

Full Integer Arithmetic Online Training for Spiking Neural Networks
by: Gomez, Ismael, et al.
Published: (2025)

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
by: Zhu, Xueke, et al.
Published: (2024)

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
by: Choi, Jongmin, et al.
Published: (2026)

TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
by: Malettira, Prajna G., et al.
Published: (2024)