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Time and probability in the mouse

Descriptive

TitleInfo
Title
Time and probability in the mouse
Name (type = personal)
NamePart (type = family)
Kheifets
NamePart (type = given)
Aaron
NamePart (type = date)
1985-
DisplayForm
Aaron Kheifets
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Gallistel
NamePart (type = given)
Charles Randy
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Charles Randy Gallistel
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Advisory Committee
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chair
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NamePart (type = family)
Feldman
NamePart (type = given)
Jacob
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Jacob Feldman
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Matzel
NamePart (type = given)
Louis
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Louis Matzel
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Maloney
NamePart (type = given)
Laurence
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Laurence Maloney
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2014
DateOther (qualifier = exact); (type = degree)
2014-01
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
I describe a series of four experiments studying decision under uncertainty in the mouse and argue that their results demand a more sophisticated, information-­‐processing, account of mouse behavior than current popular models. The tasks are based on the switch procedure of Balci, Freestone and Gallistel (2009), which employs interval-­‐timing behavior to study decision under uncertainty. I show that: 1. Subjects respond to changes in task-­‐relevant probabilities abruptly. 2. The number of trials before they detect a change in probability is predicted by the Kullback-­‐Leibler divergence between the Bernoulli distributions of the two probabilities. 3. Subjects are capable of decreasing their timing variability. 4. Subjects differentiate between added exogenous temporal variability and their endogenous timing variability. I argue that these four results are best understood in an information-­‐processing framework and modeling mouse behavior with algorithms that explicitly represent abstract quantities such as probability, exogenous variability and objective time.
Subject (authority = RUETD)
Topic
Psychology
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5163
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
iv, 127 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Aaron Kheifets
Subject (authority = ETD-LCSH)
Topic
Probability learning
Subject (authority = ETD-LCSH)
Topic
Uncertainty
Subject (authority = ETD-LCSH)
Topic
Mice--Behavior
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3154F4T
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
Kheifets
GivenName
Aaron
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2013-11-08 12:26:13
AssociatedEntity
Name
Aaron Kheifets
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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