Fleischer PhD 2018.pdf (1.73 MB)

A Unified Model of Rule-Set Learning and Selection

thesis

posted on 2019-01-16, 19:48 authored by Pierson J. FleischerPierson 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

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Categories

Cognitive neuroscience

Keywords

learning model rule sets basal ganglia prefrontal cortex presynaptic inhibition task set switching Neurocognitive Patterns and Neural Networks

Licence

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