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Neurally Plausible, Non-combinatorial Iterative Independent Process Analysis

Lőrincz, A; Szabo, Z; (2007) Neurally Plausible, Non-combinatorial Iterative Independent Process Analysis. Neurocomputing - Letters , 70 (7-9) 1569 - 1573. 10.1016/j.neucom.2006.10.145. Green open access

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Abstract

It has been shown recently that the identification of mixed hidden independent auto-regressive processes (independent process analysis, IPA), under certain conditions, can be free from combinatorial explosion. The key is that IPA can be reduced (i) to independent subspace analysis and then, via a novel decomposition technique called Separation Theorem, (ii) to independent component analysis. Here, we introduce an iterative scheme and its neural network representation that takes advantage of the reduction method and can accomplish the IPA task. Computer simulation illustrates the working of the algorithm.

Type: Article
Title: Neurally Plausible, Non-combinatorial Iterative Independent Process Analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neucom.2006.10.145
Publisher version: http://dx.doi.org/10.1016/j.neucom.2006.10.145
Language: English
Additional information: NOTICE: this is the author’s version of a work that was accepted for publication in <Journal title>. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Neurocomputing Volume 70, Issues 7–9, March 2007, 1569–1573, 10.1016/j.neucom.2006.10.145
Keywords: independent process analysis, neural network implementation
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit
URI: https://discovery.ucl.ac.uk/id/eprint/1433232
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