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Reverse engineering object recognition

Author(s)
Cox, David Daniel
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Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences.
Advisor
James J. DiCarlo.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Any given object in the world can cast an effectively infinite number of different images onto the retina, depending on its position relative to the viewer, the configuration of light sources, and the presence of other objects in the visual field. In spite of this, primates can robustly recognize a multitude of objects in a fraction of a second, with no apparent effort. The computational mechanisms underlying these amazing abilities are poorly understood. This thesis presents a collection of work from human psychophysics, monkey electrophysiology, and computational modelling in an effort to reverse-engineer the key computational components that enable this amazing ability in the primate visual system.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2007.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Page 95 blank.
 
Includes bibliographical references (p. 83-94).
 
Date issued
2007
URI
http://hdl.handle.net/1721.1/42042
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Publisher
Massachusetts Institute of Technology
Keywords
Brain and Cognitive Sciences.

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