Research Bio
The Computational Cognitive Neuroscience (CCN) Lab is a part of the Department of Psychology and the The Helen Wills Neuroscience Institute at UC Berkeley. We build and test computational models of learning and executive function. Our research focuses on learning and executive function. We believe that the brain’s processes for learning and decision making are complex and multi-faceted, more like a symphony played by many musicians, each good at their own instrument, than a melody played by one or two instruments. We use behavioral experiments (computer games!), computational modeling, and brain imaging techniques to characterize the mechanisms that support humans' flexibility and adaptability in new environments.
Research Expertise and Interest
learning, decision making, computational modeling, executive functions
Teaching
Computational Models of Cognition [COGSCI C131 - 001]
Neuroscience Graduate Research [NEU 292 - 036]
Neuroscience Research Review [NEU 295 - 005]
Cognition Colloquium [PSYCH 229A - 001]
Computational Models of Cognition [PSYCH C123 - 001]
Supervised Research: Social Sciences [UGIS 192B - 026]
Neuroscience Graduate Research [NEU 292 - 503]
Neuroscience Research Review [NEU 295 - 005]
Cognition Colloquium [PSYCH 229A - 001]
Seminars [PSYCH 290Z - 001]
Supervised Research: Social Sciences [UGIS 192B - 026]
Neuroscience Graduate Research [NEU 292 - 036]
Neuroscience Research Review [NEU 295 - 005]
Methods in Computational Modeling for Cognitive Science [PSYCH 208 - 001]
Cognition Colloquium [PSYCH 229A - 001]
Supervised Research: Social Sciences [UGIS 192B - 035]