Literature DB >> 19523514

Spontaneous pattern formation and pinning in the primary visual cortex.

Tanya I Baker1, Jack D Cowan.   

Abstract

A mean field approach to the population activity of cortical neurons is used to provide a possible mechanism for the generation of geometric visual hallucinations. As was previously investigated, competition between short-range excitation and longer-range inhibition in the connectivity profile of neurons provides the difference of length scales necessary for spontaneous symmetry breaking in the form of the Turing mechanism to generate patterns of activity. This approach is expanded in order to be able to incorporate additional details of the cortical circuitry, namely that neurons are also weakly connected at long ranges to other neurons sharing a particular preference for a stimulus feature such as orientation, spatial frequency, motion, color or disparity. Since the layout of cortical feature maps is approximately crystalline, one can apply a study of nonlinear dynamics similar to the analysis of wave propagation in a crystalline lattice to demonstrate how the spatial pattern formed through the Turing instability can be pinned to the geometric layout of various feature preferences. The specific feature map used in the study presented here is that of orientation preference, although the model can be extended to include additional features. The perturbation analysis is analogous to solving the Schrödinger equation in a weak periodic potential. Competition between the local isotropic connections which produce patterns of activity via the Turing mechanism and the weaker patchy lateral connections that depend on a neuron's particular set of feature preferences create long wavelength affects analogous to commensurate-incommensurate transitions found in fluid systems under a spatially periodic driving force. Using the retinocortical map, spontaneously formed activity patterns generated by the model can then be overlayed on the feature maps to construct the corresponding image in the visual field. We thus describe a new approach that allows the incorporation of some of the above features into a comprehensive account of the origins of hallucinations.

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Year:  2009        PMID: 19523514     DOI: 10.1016/j.jphysparis.2009.05.011

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  10 in total

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Review 3.  Recent advances in the neuropsychopharmacology of serotonergic hallucinogens.

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5.  Neural fields, spectral responses and lateral connections.

Authors:  D A Pinotsis; K J Friston
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6.  Neural field model to reconcile structure with function in primary visual cortex.

Authors:  James Rankin; Frédéric Chavane
Journal:  PLoS Comput Biol       Date:  2017-10-24       Impact factor: 4.475

7.  Dynamic causal modelling of lateral interactions in the visual cortex.

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8.  On the Effects on Cortical Spontaneous Activity of the Symmetries of the Network of Pinwheels in Visual Area V1.

Authors:  Romain Veltz; Pascal Chossat; Olivier Faugeras
Journal:  J Math Neurosci       Date:  2015-05-30       Impact factor: 1.300

9.  Contrast gain control and horizontal interactions in V1: a DCM study.

Authors:  D A Pinotsis; N Brunet; A Bastos; C A Bosman; V Litvak; P Fries; K J Friston
Journal:  Neuroimage       Date:  2014-02-02       Impact factor: 6.556

10.  Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue.

Authors:  Paul C Bressloff; Bard Ermentrout; Olivier Faugeras; Peter J Thomas
Journal:  J Math Neurosci       Date:  2016-04-04       Impact factor: 1.300

  10 in total

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