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Statistical learning of transition patterns between variable stimuli

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TitleInfo
Title
Statistical learning of transition patterns between variable stimuli
Name (type = personal)
NamePart (type = family)
Dong
NamePart (type = given)
Mingwen
NamePart (type = date)
1989-
DisplayForm
Mingwen Dong
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Vicario
NamePart (type = given)
David S
DisplayForm
David S Vicario
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Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
McGann
NamePart (type = given)
John P
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John P McGann
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Bieszczad
NamePart (type = given)
Kasia
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Kasia Bieszczad
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Otchy
NamePart (type = given)
Timothy M
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Timothy M Otchy
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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School of Graduate Studies
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school
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Text
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theses
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2019
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2019-05
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2019
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Learning transition patterns between variable sounds is essential for vocal communications. For example, spoken speech usually consists of a series of words in a specific order. Having a variant-independent representation for a word and knowing the transition patterns between words are critical for speech perception. To investigate these questions at the neural level, we recorded extracellular neural activity from multiple sites bilaterally in the zebra finch auditory forebrain while presenting auditory stimuli in two separate experiments. In the first experiment, infrequent repetitions of a song syllable were presented after either an alternating or shuffled sequence of syllables. At all tested inter-stimulus intervals (1s, 3s, or jittered from 0.8 to 1.2s), neurons in the secondary auditory area (caudomedial nidopallium, NCM) were sensitive to the violation of transition patterns. In contrast, neurons were less sensitive to the violation of transition patterns in the primary auditory area (Field L2). These results suggest that neurons in NCM can learn transition patterns between sounds after passive exposure independent of inter-syllable intervals (at least for all tested ISIs). In the second experiment, naturally-produced variants of zebra finch songs were presented in either blocked or shuffled order. The response temporal profiles for different variants of the same zebra finch song were more similar in NCM than in L2. Furthermore, in NCM but not L2, the response temporal profiles became more similar to each other after repeated passive exposure. These results suggest that variant-independent representation emerges hierarchically in the auditory system and that passive exposure may further facilitate that representation. Together, these two experiments provide insights into how the zebra finch auditory system can form variant-independent representations of complex sounds and learn the transition patterns between those sounds. Because similar neural mechanisms may serve the statistical learning and perceptual invariance capacities of the human auditory system, this approach may help us understand the neural basis of speech perception and ultimately contribute to treatments for certain auditory processing disorders.
Subject (authority = local)
Topic
Stimulus-specific detection
Subject (authority = RUETD)
Topic
Psychology
Subject (authority = LCSH)
Topic
Speech perception -- Psychology
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_9620
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application/pdf
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text/xml
Extent
1 online resource (ix, 87 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-s7gt-q968
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Dong
GivenName
Mingwen
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-03-28 14:35:52
AssociatedEntity
Name
Mingwen Dong
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2020-05-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2019-03-29T09:59:56
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2019-03-29T09:59:56
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