Learning-based sliding mode synchronization for fractional-order Hindmarsh-Rose neuronal models with...
Learning-based sliding mode synchronization for fractional-order Hindmarsh-Rose neuronal models with deterministic learning
About this item
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Author / Creator
Chen, Danfeng , Li, Junsheng , Yuan, Chengzhi , He, Jun and Zhu, Wenbo
Publisher
Lausanne: Frontiers Research Foundation
Journal title
Language
English
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Publisher
Lausanne: Frontiers Research Foundation
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Contents
In recent years, extensive research has been conducted on the synchronous behavior of neural networks. It is found that the synchronization ability of neurons is related to the performance of signal reception and transmission between neurons, which in turn affects the function of the organism. However, most of the existing synchronization methods a...
Alternative Titles
Full title
Learning-based sliding mode synchronization for fractional-order Hindmarsh-Rose neuronal models with deterministic learning
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TN_cdi_doaj_primary_oai_doaj_org_article_6f0104df991043b78c08ba807463067a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f0104df991043b78c08ba807463067a
Other Identifiers
ISSN
1662-453X,1662-4548
E-ISSN
1662-453X
DOI
10.3389/fnins.2023.1246778
