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Reverse engineering object recognition

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dc.contributor James J. DiCarlo.
dc.contributor Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences.
dc.contributor Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences.
dc.creator Cox, David Daniel
dc.date 2008-09-02T17:53:31Z
dc.date 2008-09-02T17:53:31Z
dc.date 2007
dc.date 2007
dc.identifier http://hdl.handle.net/1721.1/42042
dc.identifier 228821583
dc.description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2007.
dc.description This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
dc.description Page 95 blank.
dc.description Includes bibliographical references (p. 83-94).
dc.description 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.
dc.description by David Daniel Cox.
dc.description Ph.D.
dc.format 95 p.
dc.format application/pdf
dc.language eng
dc.publisher Massachusetts Institute of Technology
dc.rights 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.
dc.rights http://dspace.mit.edu/handle/1721.1/7582
dc.subject Brain and Cognitive Sciences.
dc.title Reverse engineering object recognition
dc.type Thesis


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