Show simple item record

Valuation and Decision-Making in Cortical-Striatal Circuits.

dc.contributor.authorPettibone, Jeffrey R.
dc.date.accessioned2016-09-13T13:50:32Z
dc.date.availableNO_RESTRICTION
dc.date.available2016-09-13T13:50:32Z
dc.date.issued2016
dc.date.submitted2016
dc.identifier.urihttps://hdl.handle.net/2027.42/133227
dc.description.abstractAdaptive decision-making relies on a distributed network of neural substrates that learn associations between behaviors and outcomes, to ultimately guide future behavior. These substrates are organized in a system of cortical-striatal loops that offer unique contributions to goal-directed behavior and receive prominent inputs from the midbrain dopamine system. However, the consequences of dopamine fluctuations at these targets remain largely unresolved, despite aggressive interrogation. Some experiments have highlighted dopamine’s role in learning via reward prediction errors, while others have noted the importance of dopamine in motivated behavior. Here, we explored the precise role of dopamine in shaping decision-making in cortex and striatum. First, we measure dopamine in ventral striatum during a trial-and-error task and show that it uniformly encodes a moment-by-moment estimate of value across multiple timescales. Our optogenetic manipulations demonstrate that changes in this value signal can be used to immediately enhance vigor, consistent with a motivational signal, and alter subsequent choice behavior, consistent with a learning signal. Next, I measured dopamine in multiple cortical-striatal loops to examine the uniformity of the value signal. I report that dopamine is non-uniform across circuits, but is consistent within them, implying that dopamine may offer unique contributions to the information processed in each loop. Finally, I performed single-unit recordings in the dorsal striatum, a major recipient of dopamine, to examine whether distinct its subcompartments—the patch and matrix—carry distinct value signals used in the selection of actions. I report preliminary data and summarize improvements in my electrode localization technique.
dc.language.isoen_US
dc.subjectDopamine
dc.subjectDecision Making
dc.subjectReinforcement Learning
dc.subjectNeuromodulation
dc.titleValuation and Decision-Making in Cortical-Striatal Circuits.
dc.typeThesisen_US
dc.description.thesisdegreenamePhD
dc.description.thesisdegreedisciplinePsychology
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeememberBerke, Joshua Damien
dc.contributor.committeememberKennedy, Robert T
dc.contributor.committeememberBerridge, Kent C
dc.contributor.committeememberAragona, Brandon J
dc.subject.hlbsecondlevelPsychology
dc.subject.hlbtoplevelSocial Sciences
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/133227/1/jpettibo_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.