Literature DB >> 29362808

Stimulus conflation and tuning selectivity in V4 neurons: a model of visual crowding.

Brad C Motter1,2.   

Abstract

Visual crowding is a fundamental constraint on our ability to identify peripheral objects in cluttered environments. This study proposes a descriptive model for understanding crowding based on the tuning selectivity for stimuli within the receptive field (RF) and examines potential neural correlates in cortical area V4. For V4 neurons, optimally sized, letter-like stimuli are much smaller than the RF. This permits stimulus conflation, the fusing of separate objects into a single identity, to occur within the RF of single neurons. Flanking interactions between such stimuli were found to be limited to the RF. The response to an optimal stimulus centered in the neuron's RF, is suppressed by the simultaneous presentation of flanking stimuli within the RF. The degree of suppression is a function of the neuron's stimulus tuning properties and the position of the flanker within the RF. A single neuron may show suppression or facilitation depending on the detailed stimulus conditions and the relationship to tuning selectivity. Loss of activity in the set of neurons tuned to a particular stimulus alters its overall representation and potential identification, thus forming a basis for visual crowding effects. The mechanisms that determine the outcome of conflation are associated with object identification, and are not some other independent visual phenomena.

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Year:  2018        PMID: 29362808      PMCID: PMC5783327          DOI: 10.1167/18.1.15

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  72 in total

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Journal:  J Neurophysiol       Date:  1999-07       Impact factor: 2.714

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Authors:  S L Moody; S P Wise; G di Pellegrino; D Zipser
Journal:  J Neurosci       Date:  1998-01-01       Impact factor: 6.167

6.  The Bouma law of crowding, revised: critical spacing is equal across parts, not objects.

Authors:  Sarah Rosen; Ramakrishna Chakravarthi; Denis G Pelli
Journal:  J Vis       Date:  2014-12-10       Impact factor: 2.240

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Authors:  R Desimone; S J Schein
Journal:  J Neurophysiol       Date:  1987-03       Impact factor: 2.714

8.  Recognition-by-components: a theory of human image understanding.

Authors:  Irving Biederman
Journal:  Psychol Rev       Date:  1987-04       Impact factor: 8.934

9.  Visual attention mediated by biased competition in extrastriate visual cortex.

Authors:  R Desimone
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1998-08-29       Impact factor: 6.237

10.  Central V4 receptive fields are scaled by the V1 cortical magnification and correspond to a constant-sized sampling of the V1 surface.

Authors:  Brad C Motter
Journal:  J Neurosci       Date:  2009-05-06       Impact factor: 6.167

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  3 in total

1.  Crowding and attention in a framework of neural network model.

Authors:  Endel Põder
Journal:  J Vis       Date:  2020-12-02       Impact factor: 2.240

2.  Saccadic momentum and attentive control in V4 neurons during visual search.

Authors:  Brad C Motter
Journal:  J Vis       Date:  2018-10-01       Impact factor: 2.240

3.  Spatial contextual effects in primary visual cortex limit feature representation under crowding.

Authors:  Christopher A Henry; Adam Kohn
Journal:  Nat Commun       Date:  2020-04-03       Impact factor: 14.919

  3 in total

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