How does the human visual system compare the speeds of spatially separated objects?

We measured psychophysical thresholds for discriminating the speeds of two arrays of moving dots. The arrays could be juxtaposed or could be spatially separated by up to 10 degrees of visual angle, eccentricity being held constant. We found that the precision of the judgments varied little with sepa...

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Main Authors: M V Danilova, C Takahashi, J D Mollon
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0231959
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spelling doaj-9627512f5da94439acf8e3e6068b96572021-03-03T21:42:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01154e023195910.1371/journal.pone.0231959How does the human visual system compare the speeds of spatially separated objects?M V DanilovaC TakahashiJ D MollonWe measured psychophysical thresholds for discriminating the speeds of two arrays of moving dots. The arrays could be juxtaposed or could be spatially separated by up to 10 degrees of visual angle, eccentricity being held constant. We found that the precision of the judgments varied little with separation. Moreover, the function relating threshold to separation was similar whether the arrays moved in the same, in opposite or in orthogonal directions. And there was no significant difference in threshold whether the two stimuli were initially presented to the same cerebral hemisphere or to opposite ones. How are human observers able to compare stimuli that fall at well separated positions in the visual field? We consider two classes of explanation: (i) Observers' judgments might be based directly on the signals of dedicated 'comparator neurons', i.e. neurons drawing inputs of opposite sign from local regions of the visual field. (ii) Signals about local features might be transmitted to the site of comparison by a shared 'cerebral bus', where the same physical substrate carries different information from moment to moment. The minimal effects of proximity and direction (which might be expected to influence local detectors of relative motion), and the combinatorial explosion in the number of comparator neurons that would be required by (i), lead us to favor models of type (ii).https://doi.org/10.1371/journal.pone.0231959
collection DOAJ
language English
format Article
sources DOAJ
author M V Danilova
C Takahashi
J D Mollon
spellingShingle M V Danilova
C Takahashi
J D Mollon
How does the human visual system compare the speeds of spatially separated objects?
PLoS ONE
author_facet M V Danilova
C Takahashi
J D Mollon
author_sort M V Danilova
title How does the human visual system compare the speeds of spatially separated objects?
title_short How does the human visual system compare the speeds of spatially separated objects?
title_full How does the human visual system compare the speeds of spatially separated objects?
title_fullStr How does the human visual system compare the speeds of spatially separated objects?
title_full_unstemmed How does the human visual system compare the speeds of spatially separated objects?
title_sort how does the human visual system compare the speeds of spatially separated objects?
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description We measured psychophysical thresholds for discriminating the speeds of two arrays of moving dots. The arrays could be juxtaposed or could be spatially separated by up to 10 degrees of visual angle, eccentricity being held constant. We found that the precision of the judgments varied little with separation. Moreover, the function relating threshold to separation was similar whether the arrays moved in the same, in opposite or in orthogonal directions. And there was no significant difference in threshold whether the two stimuli were initially presented to the same cerebral hemisphere or to opposite ones. How are human observers able to compare stimuli that fall at well separated positions in the visual field? We consider two classes of explanation: (i) Observers' judgments might be based directly on the signals of dedicated 'comparator neurons', i.e. neurons drawing inputs of opposite sign from local regions of the visual field. (ii) Signals about local features might be transmitted to the site of comparison by a shared 'cerebral bus', where the same physical substrate carries different information from moment to moment. The minimal effects of proximity and direction (which might be expected to influence local detectors of relative motion), and the combinatorial explosion in the number of comparator neurons that would be required by (i), lead us to favor models of type (ii).
url https://doi.org/10.1371/journal.pone.0231959
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