Our research combines computational modeling and experimental work to understand the
neural mechanisms underlying reinforcement learning, decision making and working memory.
We develop biologically-based neural models that simulate systems-level interactions
between multiple brain areas (primarily basal ganglia and frontal cortex and their modulation
by dopamine). We test theoretical predictions of the models using various neuropsychological,
pharmacological, genetic, and neuroimaging techniques.