The Purdue Laboratory for Computational Cognitive Neuroscience uses different methodologies from cognitive psychology, neuroimaging, and computational modeling to study the relation between the brain and cognitive processing. The goal of the Purdue Laboratory for Computational Cognitive Neuroscience is to use empirical and computational methods to better understand:
- Skill acquisition and performance (e.g., categorization, sequence learning, automaticity)
- Valuation, reward processing, decision-making, neuroeconomic)
- Knowledge representation and generalization
We are always looking for good graduate and undergraduate students who want to get involved in research. Click here for a list of current openings.
in the Purdue Laboratory for Computational Cognitive Neuroscience is
supported by the National Science Foundation and the National Institute