Human reinforcement learning : insights from intracranial recordings and stimulation / Ashwin G. Ramayya.

Format:

Book

Manuscript

Thesis/Dissertation

Author/Creator:

Ramayya, Ashwin G., author.

Contributor:

Kahana, Michael J., degree supervisor.

Kable, Joseph, degree committee member.

Contreras, Diego, degree committee member.

Zaghloul, Kareem A., degree committee member.

University of Pennsylvania. Department of Neuroscience.

Language:

English

Subjects (All):

Penn dissertations--Neuroscience.

Neuroscience--Penn dissertations.

Local Subjects:

Penn dissertations--Neuroscience.

Neuroscience--Penn dissertations.

Physical Description:

ix, 151 leaves ; 29 cm

Production:

[Philadelphia, Pennsylvania] : [University of Pennsylvania], 2014.

Summary:

Reinforcement learning is the process by which individuals alter their decisions to maximize positive outcomes, and minimize negative outcomes. It is a cognitive process that is widely used in our daily lives and is often disrupted during psychiatric disease. Thus, a major goal of neuroscience is to characterize the neural underpinnings of reinforcement learning. Whereas animal studies have utilized invasive physiological methods to characterize several neural mechanisms that underlie reinforcement learning, human studies have largely relied on non-invasive techniques that have reduced physiological precision. Although ethical limitations preclude the use of invasive physiological methods in healthy human populations, patient populations undergoing certain neurosurgical interventions offer a rare opportunity to directly assay neural activity from the brain during human reinforcement learning. This dissertation presents early findings from this research effort.

Notes:

Ph. D. University of Pennsylvania 2014.

Department: Neuroscience.

Supervisor: Michael J. Kahana.

Includes bibliographical references.

OCLC:

909959939