We study the neuroscience of memory and decision making.
Our approach combines two elements:
Developing computational models that predict human decisions and the deliberative processes underlying them. These models formalize our knowledge of neuroscience and cognitive science in the mathematical languages of reinforcement learning, Bayesian inference, and neural networks.
Validating these models with behavioral data from decision making experiments, conducted either in our lab (human behavior and neuroimaging) or by collaborators (animal electrophysiology).
Our laboratory is located in the Department of Cognitive Science, at the University of California, San Diego, and consists of a group of engineers and neuroscientists interested in the biological and computational basis of intelligent behavior.