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Spatiotemporal Decoupled Learning for Spiking Neural Networks
Chenxiang Ma
, Xinyi Chen
,
Kay Chen Tan
,
Jibin Wu
Department of Data Science and Artificial Intelligence
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
Overview
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Keyphrases
Spiking Neural Networks
100%
Coupling Learning
100%
Spatiotemporal Decoupling
100%
Backpropagation through Time
57%
Local Learning
28%
Memory Efficiency
28%
Auxiliary Network
28%
GPU Memory
28%
Learning Methods
28%
Spatial Decoupling
28%
Energy Efficient
14%
Artificial Intelligence
14%
Online Learning
14%
Neural Network Training
14%
Effective Training
14%
Memory Cost
14%
Time Method
14%
Spatial Dependence
14%
Memory Overhead
14%
Network Layer
14%
Biologically Plausible
14%
Training Effectiveness
14%
Training Framework
14%
Comparable Accuracy
14%
Largest Subset
14%
Memory Constraints
14%
ImageNet Dataset
14%
Event-based Vision
14%
Efficient Training
14%
Temporal Dependency
14%
Extensive Evaluation
14%
Vision Dataset
14%
Computer Science
Neural Network
100%
Subnetwork
75%
Graphics Processing Unit
50%
Network Layer
25%
Energy Efficient
25%
Neural Network Training
25%
Electronic Learning
25%
Artificial Intelligence
25%