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Appears in Collections:Psychology Book Chapters and Sections
Peer Review Status: Refereed
Title: How do neural systems use probabilistic inference that is context-sensitive to create and preserve organized complexity?
Authors: Phillips, William
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Editors: Simeonov, PL
Smith, LS
Ehresmann, AC
Citation: Phillips W (2012) How do neural systems use probabilistic inference that is context-sensitive to create and preserve organized complexity?. In: Simeonov PL, Smith LS, Ehresmann AC (ed.). Integral Biomathics: Tracing the Road to Reality, Berlin Heidelberg: Springer, pp. 63-69.
Keywords: self-organization
probabilistic inference
neural systems
Coherent Infomax
Issue Date: 2012
Publisher: Springer
Abstract: This paper claims that biological systems will more effectively create organized complexity if they use probabilistic inference that is context-sensitive. It argues that neural systems combine local reliability with flexible, holistic, context-sensitivity, and a theory, Coherent Infomax, showing, in principle, how this can be done is outlined. Ways in which that theory needs further development are noted, and its relation to Friston’s theory of free energy reduction is discussed.
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Type: Part of book or chapter of book
Affiliation: Psychology

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