Âé¶¹´«Ã½AV

Book Chapter

How do neural systems use probabilistic inference that is context-sensitive to create and preserve organized complexity?

Details

Citation

Phillips W (2012) How do neural systems use probabilistic inference that is context-sensitive to create and preserve organized complexity?. In: Simeonov P, Smith L & Ehresmann A (eds.) Integral Biomathics: Tracing the Road to Reality. Berlin Heidelberg: Springer, pp. 63-69. http://link.springer.com/chapter/10.1007%2F978-3-642-28111-2_7; https://doi.org/10.1007/978-3-642-28111-2_7

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.

Keywords
self-organization; complexity; probabilistic inference; induction; neural systems; Coherent Infomax; context-sensitivity

StatusPublished
Publication date31/12/2012
URL
PublisherSpringer
Publisher URL
Place of publicationBerlin Heidelberg
ISBN978-3-642-28110-5

People (1)

Professor Bill Phillips

Professor Bill Phillips

Emeritus Professor, Psychology