RUcore: Rutgers University Community Repository
Memory and prediction in a changing environment
Descriptive
TitleInfo
Title
Memory and prediction in a changing environment
Name
(type = personal)
NamePart
(type = family)
Robbins
NamePart
(type = given)
Talia
NamePart
(type = date)
1991-
DisplayForm
Talia Robbins
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Hemmer
NamePart
(type = given)
Pernille
DisplayForm
Pernille Hemmer
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Chapman
NamePart
(type = given)
Gretchen
DisplayForm
Gretchen Chapman
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Rigdon
NamePart
(type = given)
Mary
DisplayForm
Mary Rigdon
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal 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
(encoding = w3cdtf);
(qualifier = exact)
2016
DateOther
(qualifier = exact);
(type = degree)
2016-01
CopyrightDate
(encoding = w3cdtf);
(qualifier = exact)
2016
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
This study aims to understand the effect of changes in the environment on memory and prediction. Previous work has suggested that when recalling events from memory, people use the entire distribution of information they have seen, and not a more recent set. However this work has only tested situations in which the distribution changes slowly, not those in which people encounter larger, more distinct changes in the stimulus distribution. Using an established experimental paradigm in categorical perception, I test memory and prediction in order to quantify performance changes with delineated temporal changes to the distribution of stimuli. I assess whether people use multiple belief distributions for decision making regarding the likely occurrence of future stimuli. I use a Bayesian approach to model how people update their beliefs, and the influence of changing beliefs on memory. This framework assumes that beliefs are a weighted combination of a prior belief and new evidence. Specifically, I will fit three models and discuss the qualitative fit to data. I will conclude with the use of a mixture model—which combines information from an overall distribution and a current distribution—and find that it provides a good explanation of participant behavior in this paradigm.
Subject
(authority = RUETD)
Topic
Psychology
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_6883
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (iii, 24 p. : ill.)
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Memory
Subject
(authority = ETD-LCSH)
Topic
Decision making
Subject
(authority = ETD-LCSH)
Topic
Bayesian statistical decision theory
Note
(type = statement of responsibility)
by Talia Robbins
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Location
PhysicalLocation
(authority = marcorg);
(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3B56MTD
Genre
(authority = ExL-Esploro)
ETD graduate
Back to the top
Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Robbins
GivenName
Talia
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2015-11-17 16:05:20
AssociatedEntity
Name
Talia Robbins
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.
RightsEvent
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2016-01-31
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = end)
2016-08-01
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after August 1st, 2016.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top
Technical
RULTechMD
(ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
Back to the top
Statistical Profile