Literature DB >> 21411644

Partial occlusion modulates contour-based shape encoding in primate area V4.

Brittany N Bushnell1, Philip J Harding, Yoshito Kosai, Anitha Pasupathy.   

Abstract

Past studies of shape coding in visual cortical area V4 have demonstrated that neurons can accurately represent isolated shapes in terms of their component contour features. However, rich natural scenes contain many partially occluded objects, which have "accidental" contours at the junction between the occluded and occluding objects. These contours do not represent the true shape of the occluded object and are known to be perceptually discounted. To discover whether V4 neurons differentially encode accidental contours, we studied the responses of single neurons in fixating monkeys to complex shapes and contextual stimuli presented either in isolation or adjoining each other to provide a percept of partial occlusion. Responses to preferred contours were suppressed when the adjoining context rendered those contours accidental. The observed suppression was reversed when the partial occlusion percept was compromised by introducing a small gap between the component stimuli. Control experiments demonstrated that these results likely depend on contour geometry at T-junctions and cannot be attributed to mechanisms based solely on local color/luminance contrast, spatial proximity of stimuli, or the spatial frequency content of images. Our findings provide novel insights into how occluded objects, which are fundamental to complex visual scenes, are encoded in area V4. They also raise the possibility that the weakened encoding of accidental contours at the junction between objects could mark the first step of image segmentation along the ventral visual pathway.

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Year:  2011        PMID: 21411644      PMCID: PMC3065890          DOI: 10.1523/JNEUROSCI.4766-10.2011

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


  36 in total

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2.  Shape representation in area V4: position-specific tuning for boundary conformation.

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4.  The geometry of the occluding contour and its effect on motion interpretation.

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5.  Inferring figure-ground using a recurrent integrate-and-fire neural circuit.

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6.  Cortical responses to contextual influences in amodal completion.

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7.  Temporally unfolding neural representation of pictorial occlusion.

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8.  A neural model of figure-ground organization.

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Review 9.  Neural mechanisms of selective visual attention.

Authors:  R Desimone; J Duncan
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

Review 10.  3-D vision and figure-ground separation by visual cortex.

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  32 in total

1.  Shape encoding consistency across colors in primate V4.

Authors:  Brittany N Bushnell; Anitha Pasupathy
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

2.  Equivalent representation of real and illusory contours in macaque V4.

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Journal:  J Neurosci       Date:  2012-05-16       Impact factor: 6.167

3.  'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification.

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4.  Equiluminance cells in visual cortical area v4.

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5.  Modeling diverse responses to filled and outline shapes in macaque V4.

Authors:  Dina V Popovkina; Wyeth Bair; Anitha Pasupathy
Journal:  J Neurophysiol       Date:  2019-01-30       Impact factor: 2.714

6.  Figure and ground: how the visual cortex integrates local cues for global organization.

Authors:  Rüdiger von der Heydt; Nan R Zhang
Journal:  J Neurophysiol       Date:  2018-07-25       Impact factor: 2.714

7.  The role of visual area V4 in the discrimination of partially occluded shapes.

Authors:  Yoshito Kosai; Yasmine El-Shamayleh; Amber M Fyall; Anitha Pasupathy
Journal:  J Neurosci       Date:  2014-06-18       Impact factor: 6.167

8.  Spectral receptive fields do not explain tuning for boundary curvature in V4.

Authors:  Timothy D Oleskiw; Anitha Pasupathy; Wyeth Bair
Journal:  J Neurophysiol       Date:  2014-07-23       Impact factor: 2.714

9.  Figure-ground organization in the visual cortex: does meaning matter?

Authors:  Hee-Kyoung Ko; Rüdiger von der Heydt
Journal:  J Neurophysiol       Date:  2017-10-04       Impact factor: 2.714

10.  Contour Curvature As an Invariant Code for Objects in Visual Area V4.

Authors:  Yasmine El-Shamayleh; Anitha Pasupathy
Journal:  J Neurosci       Date:  2016-05-18       Impact factor: 6.167

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