A Local Learning Rule for Independent Component Analysis

Humans can separately recognize independent sources when they sense their superposition. This decomposition is mathematically formulated as independent component analysis (ICA). While a few biologically plausible learning rules, so-called local learning rules, have been proposed to achieve ICA, thei...

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Detalles Bibliográficos
Autores principales: Isomura, Takuya, Toyoizumi, Taro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914970/
https://www.ncbi.nlm.nih.gov/pubmed/27323661
http://dx.doi.org/10.1038/srep28073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914970/
https://www.ncbi.nlm.nih.gov/pubmed/27323661
http://dx.doi.org/10.1038/srep28073

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