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dc.contributor.advisorAnn Graybiel.en_US
dc.contributor.authorDrammis, Sabrina Mariel.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-02-19T20:32:12Z
dc.date.available2021-02-19T20:32:12Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129873
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020en_US
dc.descriptionCataloged from student-submitted PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 74-77).en_US
dc.description.abstractLearning to approach for rewards and avoid for costs is a necessary skill for species survival. In this thesis, I investigate the role of the striosomal compartment of the rodent basal ganglia while learning a cost-benefit decision making task. I analyze data from animals of different age groups and animals with expressive Huntington's disease (HD) gene. My goal is to understand the computational role of striosomes in learning, and how aging and Huntington's disorder affect the anatomical structure of striosomes and thus the ability to learn. By analyzing Ca⁺⁺ (Calcium) neuron population recordings, behavior recordings, and histological brain slice images of mice, I find that: 1) the activity of spiny projection neurons (SPNs) in striosomes correlate with learning ability; 2) an animal's attentiveness to the task is critical for learning; 3) anatomical circuit disassembly, specifically reduced connectivity of inhibitory Parvalbumin (PV) interneurons on SPNs, is found in animal groups with lower learning ability. These results help elucidate the unclear role of striosomes in learning and provide ideas for future research directions that could inspire neurological treatments for neuro-degradation in aging and disorder.en_US
dc.description.statementofresponsibilityby Sabrina Mariel Drammis.en_US
dc.format.extent77 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleUnderstanding the role of striosomes in learning a decision-making tasken_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1237411441en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-02-19T20:31:42Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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