The amygdala in value-guided decision making

Abstract

The 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.