Abstract
dc:description.abstractThe amygdala is a structure well known for its role in fear and reward learning, but how these mechanisms are used for decision-making is not well understood. Decision-making involves the rapid updating of cue associations as well as the encoding of a value currency, both processes in which the amygdala has been implicated. In this thesis I develop a strategy to study value-guided decision making in rodents using an olfactory binary choice task. Using a logistic regression model, I show that the value of expected rewards is a strong influence on choice, and can bias perceptual decisions. In addition, I show that decisions are influenced by events in the near past, and a specific bias towards correct choices in the near past can be detected using this analysis. Using genetic targeting of a sub-population of amygdala neurons, I show that this population is required for the rapid learning of an olfactory decision making task. Using in-vivo calcium imaging of this population I show that these neurons are active during the inter-trial interval and modulated by choice history, suggesting a mechanism by which choice history can influence current decisions.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2017
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Jaime-Bustamante, Kean (Kean Willyams)
- Advisor dc:contributor.advisor
-
- Susumu Tonegawa.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/114076
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/114076