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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Bibliographic Details
Main Authors: Isomura, Takuya, Toyoizumi, Taro
Format: Online
Language:English
Published: Nature Publishing Group 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914970/