|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?|
|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.|
|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.|
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|Type:||Part of book or chapter of book|
|Phillips ACIB2012.pdf||165.01 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
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