Analysis of matrix and striosomal cell activity to explore and predict mouse behavior in 'T' maze

Animals have evolved to allow for decision-making based on rewarding and aversive features of the environment. This ability has been studied in mice and other species as well as the different neuropsychiatric and neurological disorders that undermine this ability. Previous work has shown that some of this decision-making is linked to the striatum, a part of the basal ganglia. There is also previous research that suggests this behavior is partly controlled by a set of distributed striatal microzones known as striosomes. We aim to study the neural activity of striosome and matrix cells in wild type and Huntington disease modeling mice and how they are linked to cost-benefit decision-making. This paper will analyze and model the neural data and train a classifier that can predict the mouse's behavior as it runs a T-maze. The paper finds some support for the claim that striosomes are correlated to the decision-making process.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Rajan, Meena S.

Advisor dc:contributor.advisor

• Ann Graybiel.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/129915

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/129915