Literature DB >> 9822745

Correlation-based development of ocularly matched orientation and ocular dominance maps: determination of required input activities.

E Erwin1, K D Miller.   

Abstract

We extend previous models for separate development of ocular dominance and orientation selectivity in cortical layer 4 by exploring conditions permitting combined organization of both properties. These conditions are expressed in terms of functions describing the degree of correlation in the firing of two inputs from the lateral geniculate nucleus (LGN), as a function of their retinotopic separation and their "type" (ON center or OFF center and left eye or right eye). The development of ocular dominance requires that the correlations of an input with other inputs of the same eye be stronger than or equal to its correlations with inputs of the opposite eye and strictly stronger at small retinotopic separations. This must be true after summing correlations with inputs of both center types. The development of orientation-selective simple cells requires that (1) an input's correlations with other inputs of the same center type be stronger than its correlations with inputs of the opposite center type at small retinotopic separation; and (2) this relationship reverse at larger retinotopic separations within an arbor radius (the radius over which LGN cells can project to a common cortical point). This must be true after summing correlations with inputs serving both eyes. For orientations to become matched in the two eyes, correlated activity within the receptive fields must be maximized by specific between-eye alignments of ON and OFF subregions. Thus the correlations between the eyes must differ depending on center type, and this difference must vary with retinotopic separation within an arbor radius. These principles are satisfied by a wide class of correlation functions. Combined development of ocularly matched orientation maps and ocular dominance maps can be achieved either simultaneously or sequentially. In the latter case, the model can produce a correlation between the locations of orientation map singularities and local ocular dominance peaks similar to that observed physiologically. The model's main prediction is that the above correlations should exist among inputs to cortical layer 4 simple cells before vision. In addition, mature simple cells are predicted to have certain relationships between the locations of the ON and OFF subregions of the left and right eyes' receptive fields.

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Mesh:

Year:  1998        PMID: 9822745      PMCID: PMC6793311     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  93 in total

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Authors:  B Chapman; M P Stryker; T Bonhoeffer
Journal:  J Neurosci       Date:  1996-10-15       Impact factor: 6.167

4.  Correlation-based development of ocularly matched orientation and ocular dominance maps: determination of required input activities.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1998-12-01       Impact factor: 6.167

5.  Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex.

Authors:  J Sirosh; R Miikkulainen
Journal:  Neural Comput       Date:  1997-04-01       Impact factor: 2.026

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Journal:  J Neurophysiol       Date:  1977-11       Impact factor: 2.714

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Authors:  C von der Malsburg
Journal:  Kybernetik       Date:  1973-12-31

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Authors:  R C Reid; J M Alonso
Journal:  Nature       Date:  1995-11-16       Impact factor: 49.962

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Authors:  J A Movshon; R C Van Sluyters
Journal:  Annu Rev Psychol       Date:  1981       Impact factor: 24.137

10.  Activity-dependent scaling of quantal amplitude in neocortical neurons.

Authors:  G G Turrigiano; K R Leslie; N S Desai; L C Rutherford; S B Nelson
Journal:  Nature       Date:  1998-02-26       Impact factor: 49.962

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  27 in total

1.  The subregion correspondence model of binocular simple cells.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

2.  Maps of central visual space in ferret V1 and V2 lack matching inputs from the two eyes.

Authors:  L E White; W H Bosking; S M Williams; D Fitzpatrick
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

3.  Structured long-range connections can provide a scaffold for orientation maps.

Authors:  H Z Shouval; D H Goldberg; J P Jones; M Beckerman; L N Cooper
Journal:  J Neurosci       Date:  2000-02-01       Impact factor: 6.167

4.  Statistics of lateral geniculate nucleus (LGN) activity determine the segregation of ON/OFF subfields for simple cells in visual cortex.

Authors:  A B Lee; B Blais; H Z Shouval; L N Cooper
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

5.  Receptive fields and response properties of neurons in layer 4 of ferret visual cortex.

Authors:  W Martin Usrey; Michael P Sceniak; Barbara Chapman
Journal:  J Neurophysiol       Date:  2003-02       Impact factor: 2.714

6.  A cooperation and competition based simple cell receptive field model and study of feed-forward linear and nonlinear contributions to orientation selectivity.

Authors:  Basabi Bhaumik; Mona Mathur
Journal:  J Comput Neurosci       Date:  2003 Mar-Apr       Impact factor: 1.621

7.  Link between orientation and retinotopic maps in primary visual cortex.

Authors:  Se-Bum Paik; Dario L Ringach
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-16       Impact factor: 11.205

Review 8.  Thalamocortical Circuits and Functional Architecture.

Authors:  Jens Kremkow; Jose-Manuel Alonso
Journal:  Annu Rev Vis Sci       Date:  2018-06-01       Impact factor: 6.422

9.  Correlation-based development of ocularly matched orientation and ocular dominance maps: determination of required input activities.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1998-12-01       Impact factor: 6.167

10.  Experience-dependent and independent binocular correspondence of receptive field subregions in mouse visual cortex.

Authors:  Rashmi Sarnaik; Bor-Shuen Wang; Jianhua Cang
Journal:  Cereb Cortex       Date:  2013-02-06       Impact factor: 5.357

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