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A Unified Model of Rule-Set Learning and Selection

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thesis
posted on 16.01.2019 by Pierson J. Fleischer
A new, biologically plausible model of task-set learning that reproduces effects from both rule-learning experiments and task-switching experiments.

Funding

Award #2R01MH063760-09A1 from the National Institute of Health

History

Degree Type

Doctor of Philosophy

Department

Psychological Sciences

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Sébastien Hélie

Additional Committee Member 2

Greg Francis

Additional Committee Member 3

Richard Schweickert

Additional Committee Member 4

Shawn Ell

Licence

Exports