Dynamic layer-span connecting spiking neural networks with backpropagation training

Dynamic layer-span connecting spiking neural networks with backpropagation training

Abstract Spiking Neural Network (SNN) is one of the mainstream frameworks for brain-like computing and neuromorphic computing, which has the potential to overcome current AI challenges, for example, low-power learning dynamic processes. However, there is still a huge gap in performance between SNN a...

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Bibliographic Details
Main Authors: Zijjian Wang, Yuxuan Huang, Yaqin Zhu, Binxing Xu, Long Chen
Format: Article
Language:English
Published: Springer 2023-10-01
Series:Complex & Intelligent Systems
Subjects:
Spiking neural network
Surrogate gradient
Backpropagation
Brain-inspired computing
Brain-like computing
Online Access:https://doi.org/10.1007/s40747-023-01245-7

Internet

https://doi.org/10.1007/s40747-023-01245-7

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