Image de couverture de livre

Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Shibo, Yang, Bo, Yuan, Mengwen, Jiang, Runhao, Yan, Rui, Pan, Gang, Tang, Huajin
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
par: Xu, Shang, et autres
Publié: (2025)

Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
par: Xu, Qi, et autres
Publié: (2024)

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
par: Wang, Ziming, et autres
Publié: (2022)

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
par: Wang, Ziming, et autres
Publié: (2024)

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
par: Liu, Qianhui, et autres
Publié: (2024)

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
par: Qin, Lang, et autres
Publié: (2024)

TS-SNN: Temporal Shift Module for Spiking Neural Networks
par: Yu, Kairong, et autres
Publié: (2025)

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
par: Jiang, Jiaqiang, et autres
Publié: (2025)

An Asynchronous Multi-core Accelerator for SNN inference
par: Chen, Zhuo, et autres
Publié: (2024)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
par: Ma, Chenxiang, et autres
Publié: (2025)

Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity
par: Shen, Jiangrong, et autres
Publié: (2024)

Optimal ANN-SNN Conversion with Group Neurons
par: Lv, Liuzhenghao, et autres
Publié: (2024)

A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning
par: Qin, Lang, et autres
Publié: (2022)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
par: Xue, Peng, et autres
Publié: (2025)

Plug-and-Play Homeostatic Spark: Zero-Cost Acceleration for SNN Training Across Paradigms
par: Chen, Rui, et autres
Publié: (2025)

NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
par: Zhang, Chuhan, et autres
Publié: (2023)

Spatio-Temporal Decoupled Learning for Spiking Neural Networks
par: Ma, Chenxiang, et autres
Publié: (2025)

BrainTransformers: SNN-LLM
par: Tang, Zhengzheng, et autres
Publié: (2024)

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
par: Huang, Yongsheng, et autres
Publié: (2025)

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements
par: Unger, Moshe, et autres
Publié: (2025)

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
par: Baronig, Maximilian, et autres
Publié: (2024)

SNNF: An SNN-based Near-Sensor Noise Filter for Dynamic Vision Sensors
par: Yang, Yahan, et autres
Publié: (2026)

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
par: Lee, Donghyun, et autres
Publié: (2024)

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
par: Huang, Yongsheng, et autres
Publié: (2026)

MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
par: Lee, Donghyun, et autres
Publié: (2025)

Spiking Transformer with Spatial-Temporal Attention
par: Lee, Donghyun, et autres
Publié: (2024)

Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
par: Bu, Tong, et autres
Publié: (2024)

FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks
par: Yu, Kairong, et autres
Publié: (2024)

Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices
par: Fra, Vittorio, et autres
Publié: (2024)

An Event-Driven E-Skin System with Dynamic Binary Scanning and real time SNN Classification
par: Li, Gaishan, et autres
Publié: (2026)

Efficient ANN-SNN Conversion with Error Compensation Learning
par: Liu, Chang, et autres
Publié: (2025)

One-Timestep is Enough: Achieving High-performance ANN-to-SNN Conversion via Scale-and-Fire Neurons
par: Chen, Qiuyang, et autres
Publié: (2025)

NEXUS: Bit-Exact ANN-to-SNN Equivalence via Neuromorphic Gate Circuits with Surrogate-Free Training
par: Tang, Zhengzheng
Publié: (2026)

A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training
par: Mirsadeghi, Maryam, et autres
Publié: (2026)

Cross-Modal Temporal Fusion for Financial Market Forecasting
par: Pei, Yunhua, et autres
Publié: (2025)

An Attempt to Devise a Pairwise Ising-Type Maximum Entropy Model Integrated Cost Function for Optimizing SNN Deployment
par: Huang, Wanhong
Publié: (2024)

Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding
par: He, Huaxu
Publié: (2024)

Spatial-Temporal Search for Spiking Neural Networks
par: Che, Kaiwei, et autres
Publié: (2024)

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
par: Chen, Xinyi, et autres
Publié: (2025)

Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
par: Ma, De, et autres
Publié: (2023)