Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/20493
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPhillips, Williamen_UK
dc.contributor.editorSimeonov, PLen_UK
dc.contributor.editorSmith, LSen_UK
dc.contributor.editorEhresmann, ACen_UK
dc.date.accessioned2014-06-19T23:13:27Z-
dc.date.available2014-06-19T23:13:27Zen_UK
dc.date.issued2012en_UK
dc.identifier.urihttp://hdl.handle.net/1893/20493-
dc.description.abstractThis 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.en_UK
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.relationPhillips 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.en_UK
dc.rightsThe 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.en_UK
dc.subjectself-organizationen_UK
dc.subjectcomplexityen_UK
dc.subjectprobabilistic inferenceen_UK
dc.subjectinductionen_UK
dc.subjectneural systemsen_UK
dc.subjectCoherent Infomaxen_UK
dc.subjectcontext-sensitivityen_UK
dc.titleHow do neural systems use probabilistic inference that is context-sensitive to create and preserve organized complexity?en_UK
dc.typePart of book or chapter of booken_UK
dc.rights.embargodate2999-12-01en_UK
dc.rights.embargoreason[Phillips ACIB2012.pdf] : The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1007/978-3-642-28111-2_7en_UK
dc.citation.issue2012en_UK
dc.citation.spage63en_UK
dc.citation.epage69en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.identifier.urlhttp://link.springer.com/chapter/10.1007%2F978-3-642-28111-2_7en_UK
dc.author.emailw.a.phillips@stir.ac.uken_UK
dc.citation.btitleIntegral Biomathics: Tracing the Road to Realityen_UK
dc.citation.conferencelocationBerlin Heidelbergen_UK
dc.citation.isbn978-3-642-28110-5en_UK
dc.publisher.addressBerlin Heidelbergen_UK
dc.contributor.affiliationPsychologyen_UK
dc.identifier.scopusid2-s2.0-84948102495en_UK
dc.identifier.wtid626513en_UK
dc.contributor.orcid0000-0001-6036-2255en_UK
dc.date.firstcompliantdepositdate2014-06-19en_UK
Appears in Collections:Psychology Book Chapters and Sections

Files in This Item:
File Description SizeFormat 
Phillips ACIB2012.pdfFulltext - Accepted Version165.01 kBAdobe PDFUnder Embargo until 2999-12-01    Request a copy


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.