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The perception of brightness and ori...

Nundy, Surajit.

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The perception of brightness and orientation in relation to the success or failure of visually-guided behavior.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The perception of brightness and orientation in relation to the success or failure of visually-guided behavior./
Author:	Nundy, Surajit.
Description:	141 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 2796.
Contained By:	Dissertation Abstracts International65-06B.
Subject:	Biology, Neuroscience. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3136833
ISBN:	0496840298

The perception of brightness and orientation in relation to the success or failure of visually-guided behavior.
Nundy, Surajit.

The perception of brightness and orientation in relation to the success or failure of visually-guided behavior. - 141 p.

Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 2796.

Thesis (Ph.D.)--Duke University, 2004.

The overall goal of this project is to better understand the apparently empirical nature of visual perception. More specifically, I have explored the theory that visual percepts are based on patterns of neural activity shaped by the past success and/or failure of visually guided behavior in response to retinal stimuli that cannot uniquely specify their source. Recent work has shown that a number of otherwise perplexing visual percepts are correlated with the probability distributions of the sources of the stimuli that elicit them, rather than with the patterns of light that actually define the stimuli or the physical properties of the objects and conditions that caused them. Thus, human visual percepts may be better described by what patterns of light incident on the retina have turned out to be in the past, than by an analysis of the stimulus itself or of the real-world objects in the scene. In short, percepts accord with the behavioral significance of their generative stimuli. I have shown that the perceived orientation of simple forms can be predicted on the basis of this significance, and have also shown that the relationship between the luminance of stimuli and their apparent brightness is similarly predicted. To examine the mechanism by which such a strategy of vision might be instantiated, I have studied artificial neural networks in digital organisms that 'evolve' in virtual environments according to the success or failure of their visually-guided behavior. Taken together, this work indicates that percepts in the visual domains studied arise from the evolutionary need to behave appropriately in response to the sources of ambiguous visual stimuli.

ISBN: 0496840298Subjects--Topical Terms:

1017680
Biology, Neuroscience.

The perception of brightness and orientation in relation to the success or failure of visually-guided behavior.
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245 1 4 $a The perception of brightness and orientation in relation to the success or failure of visually-guided behavior.
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500 $a Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 2796.
500 $a Supervisor: Dale Purves.
502 $a Thesis (Ph.D.)--Duke University, 2004.
520 $a The overall goal of this project is to better understand the apparently empirical nature of visual perception. More specifically, I have explored the theory that visual percepts are based on patterns of neural activity shaped by the past success and/or failure of visually guided behavior in response to retinal stimuli that cannot uniquely specify their source. Recent work has shown that a number of otherwise perplexing visual percepts are correlated with the probability distributions of the sources of the stimuli that elicit them, rather than with the patterns of light that actually define the stimuli or the physical properties of the objects and conditions that caused them. Thus, human visual percepts may be better described by what patterns of light incident on the retina have turned out to be in the past, than by an analysis of the stimulus itself or of the real-world objects in the scene. In short, percepts accord with the behavioral significance of their generative stimuli. I have shown that the perceived orientation of simple forms can be predicted on the basis of this significance, and have also shown that the relationship between the luminance of stimuli and their apparent brightness is similarly predicted. To examine the mechanism by which such a strategy of vision might be instantiated, I have studied artificial neural networks in digital organisms that 'evolve' in virtual environments according to the success or failure of their visually-guided behavior. Taken together, this work indicates that percepts in the visual domains studied arise from the evolutionary need to behave appropriately in response to the sources of ambiguous visual stimuli.
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