A new recursive least squares-based learning algorithm for spiking neurons

Spiking neural networks (SNNs) are regarded as effective models for processing spatio-temporal information. However, their inherent complexity of temporal coding makes it an arduous task to put forward an effective supervised learning algorithm, which still puzzles researchers in this area. In this...

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Vydané v:	Neural networks Ročník 138; s. 110 - 125
Hlavní autori:	Zhang, Yun, Qu, Hong, Luo, Xiaoling, Chen, Yi, Wang, Yuchen, Zhang, Malu, Li, Zefang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 01.06.2021
Predmet:	Recursive least squares Spiking neural networks Spiking neurons Supervised learning Spiking neurons Supervised learning Recursive least squares Spiking neural networks
ISSN:	0893-6080, 1879-2782, 1879-2782
On-line prístup:	Získať plný text
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