Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks

Summary: The spiking neural network (SNN) mimics the information-processing operation in the human brain. Directly applying backpropagation to the training of the SNN still has a performance gap compared with traditional deep neural networks. To address the problem, we propose a biologically plausib...

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Bibliografische Detailangaben

Hauptverfasser:	Guobin Shen, Dongcheng Zhao, Yi Zeng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2022-06-01
Schriftenreihe:	Patterns
Schlagworte:	DSML2: Proof-of-concept: Data science output has been formulated, implemented, and tested for one domain/problem
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2666389922001192
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