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How Do Neural Systems Use Probabilistic Inference That Is Context-Sensitive to Create and Preserve Organized Complexity?

  • William A. Phillips
Chapter

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 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • William A. Phillips
    • 1
    • 2
  1. 1.University of StirlingStirlingScotland
  2. 2.Frankfurt Institute of Advanced StudiesFrankfurtGermany

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