Kernels of learning : tracking the emergence of visual recognition through multivariate approaches

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2011.

Bibliographic Details
Main Author: Gorlin, Scott (Scott Merell)
Other Authors: Pawan Sinha.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2012
Subjects:
Online Access:http://hdl.handle.net/1721.1/68422
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author Gorlin, Scott (Scott Merell)
author2 Pawan Sinha.
author_facet Pawan Sinha.
Gorlin, Scott (Scott Merell)
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description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2011.
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spelling mit-1721.1/684222019-04-11T01:15:10Z Kernels of learning : tracking the emergence of visual recognition through multivariate approaches Tracking the emergence of visual recognition through multivariate approaches Gorlin, Scott (Scott Merell) Pawan Sinha. Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences. Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences. Brain and Cognitive Sciences. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 121-130). The visual system is a dynamic entity whose response properties depend on context and experience. In this thesis, I examine how the brain changes as we learn to see - what changes occur during the onset of recognition, in the mature visual system on the one hand, and in a developmentally nascent one, on the other? Working with normal adults, I focus on the processes that underlie the interpretation of images as meaningful entities. This interpretation is greatly facilitated by prior information about a stimulus. What are the neural sites that exhibit experience dependent changes? Using multivariate decoding techniques, I find pervasive evidence of such changes throughout the visual system. Critically, cortical regions previously implicated in such learning are not the same loci as sites of increased information. Examining the temporal mechanisms of recognition, I identify the perceptual state transitions corresponding to the onset of meaning in an observed image. Furthermore, decoding techniques reveal the flow of information during this 'eureka moment.' I find feedback processing when a degraded image is first meaningfully interpreted, and then a rapid transition into feed-forward processing for more coherent images. Complementing the studies with mature subjects, my work with developmentally nascent observers explores the genesis of visual interpretation. What neural changes accompany the earliest stages of visual learning? I show that children treated for congenital blindness exhibit significant cortical re-organization after sight onset, in contrast to the classical notion of a critical period for visual plasticity. The specific kind of reorganization suggests that visual experience enhances information coding efficiency in visual cortex. Additionally, I present evidence of rapid development of functionally specialized cortical regions. Overall, the thesis presents two complementary perspectives on the genesis of visual meaning. The results help advance our understanding of how short-term experience, as well as developmental history, shapes our interpretation of the complex visual world. by Scott Gorlin. Ph.D. 2012-01-12T19:26:19Z 2012-01-12T19:26:19Z 2011 2011 Thesis http://hdl.handle.net/1721.1/68422 768768936 eng 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 130 p. application/pdf Massachusetts Institute of Technology
spellingShingle Brain and Cognitive Sciences.
Gorlin, Scott (Scott Merell)
Kernels of learning : tracking the emergence of visual recognition through multivariate approaches
title Kernels of learning : tracking the emergence of visual recognition through multivariate approaches
title_full Kernels of learning : tracking the emergence of visual recognition through multivariate approaches
title_fullStr Kernels of learning : tracking the emergence of visual recognition through multivariate approaches
title_full_unstemmed Kernels of learning : tracking the emergence of visual recognition through multivariate approaches
title_short Kernels of learning : tracking the emergence of visual recognition through multivariate approaches
title_sort kernels of learning tracking the emergence of visual recognition through multivariate approaches
topic Brain and Cognitive Sciences.
url http://hdl.handle.net/1721.1/68422
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