RUcore: Rutgers University Community Repository
Influence of the neostriatal patch system on the prediction-based coding of midbrain dopaminergic neurons
Descriptive
TitleInfo
Title
Influence of the neostriatal patch system on the prediction-based coding of midbrain dopaminergic neurons
Name
(type = personal)
NamePart
(type = family)
Faust
NamePart
(type = given)
Thomas W.
NamePart
(type = date)
1984-
DisplayForm
Thomas W. Faust
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Mena-Segovia
NamePart
(type = given)
Juan
DisplayForm
Juan Mena-Segovia
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Tepper
NamePart
(type = given)
James M
DisplayForm
James M Tepper
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Pare
NamePart
(type = given)
Denis
DisplayForm
Denis Pare
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Zaborszky
NamePart
(type = given)
Laszlo
DisplayForm
Laszlo Zaborszky
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Koos
NamePart
(type = given)
Tibor
DisplayForm
Tibor Koos
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Paladini
NamePart
(type = given)
Carlos A
DisplayForm
Carlos A Paladini
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 - Newark
Role
RoleTerm
(authority = RULIB)
school
TypeOfResource
Text
Genre
(authority = marcgt)
theses
Genre
(authority = ExL-Esploro)
ETD doctoral
OriginInfo
DateCreated
(qualifier = exact)
2017
DateOther
(qualifier = exact);
(type = degree)
2017-10
CopyrightDate
(encoding = w3cdtf);
(qualifier = exact)
2017
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Dopaminergic neurons of the ventral midbrain signal deviations from expected values, and have profound effects on motivated behavior. It has been hypothesized that these neurons produce these signals by integrating prediction and outcome information from distinct afferent structures, and update representations of prediction by dopamine-dependent synaptic plasticity. I therefore attempted to characterize the coding properties of one of their primary source of synaptic inhibition, the patches of the dorsal striatum, in an attempt to determine whether it could serve to provide prediction information to the dopaminergic neurons. The coding differences between the patch and matrix subpopulations of the dorsal striatum have thus far remained unknown, but due to the recent availability of new transgenic mouse lines targeting these neuronal populations, they can now be investigated. Based on their unique monosynaptic innervation of dopaminergic neurons of the substantia nigra, receipt of dopaminergic innervation from the substantia nigra, and dopamine-dependent synaptic plasticity, I therefore hypothesized that the neurons of the dorsal striatal patches provide the prediction signal by which dopaminergic neurons report deviations in expected value. I used in vitro whole cell recording and optogenetics to determine the synaptic physiology of projections from the patches to dopaminergic neurons, and used in vivo multielectrode recording and optogenetics to characterize the coding properties of striatal patch and matrix neurons. The patches of the dorsal striatum were observed to provide biophysically distinct fast and slow inhibition to the dopaminergic neurons of the substantia nigra, and dorsal striatal patch neurons were observed to encode signals which conform to the notion of a prediction signal. Therefore these results support the hypothesis that dopaminergic neurons encode deviations from predicted outcomes, and that the dorsal striatal patches provide a prediction signal necessary for this type of coding.
Subject
(authority = RUETD)
Topic
Neuroscience
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier
(type = local)
rucore10002600001
Identifier
ETD_8440
Identifier
(type = doi)
doi:10.7282/T3N019KQ
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xi, 142 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Thomas W. Faust
Location
PhysicalLocation
(authority = marcorg);
(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Back to the top
Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Faust
GivenName
Thomas
MiddleName
W.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2017-09-28 16:07:07
AssociatedEntity
Name
Thomas Faust
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
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
Back to the top
Technical
RULTechMD
(ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
CreatingApplication
Version
1.6
DateCreated
(point = start);
(encoding = w3cdtf);
(qualifier = exact)
2017-09-29T14:03:02
DateCreated
(point = start);
(encoding = w3cdtf);
(qualifier = exact)
2017-09-29T14:03:02
ApplicationName
Mac OS X 10.12 Quartz PDFContext
Back to the top
Statistical Profile