Literature DB >> 10097008

In search of common foundations for cortical computation.

W A Phillips1, W Singer.   

Abstract

It is worthwhile to search for forms of coding, processing, and learning common to various cortical regions and cognitive functions. Local cortical processors may coordinate their activity by maximizing the transmission of information coherently related to the context in which it occurs, thus forming synchronized population codes. This coordination involves contextual field (CF) connections that link processors within and between cortical regions. The effects of CF connections are distinguished from those mediating receptive field (RF) input; it is shown how CFs can guide both learning and processing without becoming confused with the transmission of RF information. Simulations explore the capabilities of networks built from local processors with both RF and CF connections. Physiological evidence for synchronization, CFs, and plasticity of the RF and CF connections is described. Coordination via CFs is related to perceptual grouping, the effects of context on contrast sensitivity, amblyopia, implicit influences of color in achromotopsia, object and word perception, and the discovery of distal environmental variables and their interactions through self-organization. Cortical computation could thus involve the flexible evaluation of relations between input signals by locally specialized but adaptive processors whose activity is dynamically associated and coordinated within and between regions through specialized contextual connections.

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Mesh:

Year:  1997        PMID: 10097008     DOI: 10.1017/s0140525x9700160x

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  37 in total

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Authors:  K J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-02-29       Impact factor: 6.237

2.  Contextual modulation of synchronization to random dots in the cat visual cortex.

Authors:  S Shumikhina; J Guay; F Duret; S Molotchnikoff
Journal:  Exp Brain Res       Date:  2004-04-30       Impact factor: 1.972

3.  Cognitive disorganization in hippocampus: a physiological model of the disorganization in psychosis.

Authors:  Andrey V Olypher; Daniel Klement; André A Fenton
Journal:  J Neurosci       Date:  2006-01-04       Impact factor: 6.167

Review 4.  A theory of cortical responses.

Authors:  Karl Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-04-29       Impact factor: 6.237

5.  An outline of functional self-organization in V1: synchrony, STLR and Hebb rules.

Authors:  J J Wright; P D Bourke
Journal:  Cogn Neurodyn       Date:  2008-04-19       Impact factor: 5.082

6.  A single functional model of drivers and modulators in cortex.

Authors:  M W Spratling
Journal:  J Comput Neurosci       Date:  2013-07-02       Impact factor: 1.621

7.  Is disorganization a feature of schizophrenia or a modifying influence: evidence of covariation of perceptual and cognitive organization in a non-patient sample.

Authors:  Keith A Feigenson; Michael A Gara; Matthew W Roché; Steven M Silverstein
Journal:  Psychiatry Res       Date:  2014-03-12       Impact factor: 3.222

8.  Specific electrophysiological components disentangle affective sharing and empathic concern in psychopathy.

Authors:  Jean Decety; Kimberly L Lewis; Jason M Cowell
Journal:  J Neurophysiol       Date:  2015-05-06       Impact factor: 2.714

9.  Dynamic grouping of hippocampal neural activity during cognitive control of two spatial frames.

Authors:  Eduard Kelemen; André A Fenton
Journal:  PLoS Biol       Date:  2010-06-22       Impact factor: 8.029

10.  Experience-driven formation of parts-based representations in a model of layered visual memory.

Authors:  Jenia Jitsev; Christoph von der Malsburg
Journal:  Front Comput Neurosci       Date:  2009-09-29       Impact factor: 2.380

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