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Local motion detection: Comparison o...
~
Schrater, Paul Robert.
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Local motion detection: Comparison of human and model observers.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Local motion detection: Comparison of human and model observers./
Author:
Schrater, Paul Robert.
Description:
183 p.
Notes:
Source: Dissertation Abstracts International, Volume: 60-04, Section: B, page: 1463.
Contained By:
Dissertation Abstracts International60-04B.
Subject:
Biology, Neuroscience. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9926194
ISBN:
0599259582
Local motion detection: Comparison of human and model observers.
Schrater, Paul Robert.
Local motion detection: Comparison of human and model observers.
- 183 p.
Source: Dissertation Abstracts International, Volume: 60-04, Section: B, page: 1463.
Thesis (Ph.D.)--University of Pennsylvania, 1998.
The thesis provides the first unambiguous psychophysical evidence for a set of visual mechanisms specialized to encode pattern velocity.
ISBN: 0599259582Subjects--Topical Terms:
1017680
Biology, Neuroscience.
Local motion detection: Comparison of human and model observers.
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Schrater, Paul Robert.
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Local motion detection: Comparison of human and model observers.
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183 p.
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Source: Dissertation Abstracts International, Volume: 60-04, Section: B, page: 1463.
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Supervisor: David Knill.
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Thesis (Ph.D.)--University of Pennsylvania, 1998.
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The thesis provides the first unambiguous psychophysical evidence for a set of visual mechanisms specialized to encode pattern velocity.
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We investigated the mechanisms of visual motion processing in humans. Previous research had shown the human visual system decomposes moving images by a set of spatio-temporal frequency selective mechanisms which do not unambiguously encode the velocity of moving patterns. By pooling the outputs of these mechanisms which have frequency selectivity lying on a common plane in spatio-temporal frequency space, the visual system can encode pattern velocities. The goal of this research was to investigate whether the visual system uses such pooling.
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We designed a novel set of stimuli which are optimal for pattern motion detectors. By comparing detection performance on these stimuli against a set of control stimuli, we found evidence for pooling. A trial by trial perturbation analysis of this data was used to determine the observers' pooling strategies, which showed at least two distinct kinds of frequency weighting, narrow band in orientation and broad band with weights restricted to a common plane. Finally, using subthreshold summation experiments we found that fourier power lying a common plane is additively pooled while power not a common plane is subadditively pooled.
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School code: 0175.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9926194
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