Learning to Become an Expert: Reinforcement Learning and the Acquisition of Perceptual Expertise.

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Bibliographic Details
Title: Learning to Become an Expert: Reinforcement Learning and the Acquisition of Perceptual Expertise.
Authors: Krigolson, Olav E., Pierce, Lara J., Holroyd, Clay B., Tanaka, James W.
Source: Journal of Cognitive Neuroscience. Sep2009, Vol. 21 Issue 9, p1834-1841. 8p. 1 Diagram, 3 Graphs.
Subjects: Self-organizing systems, Perceptual control theory, Instructional systems, Electroencephalography, Educational evaluation, Reinforcement learning
Abstract: To elucidate the neural mechanisms underlying the development of perceptual expertise, we recorded ERPs while participants performed a categorization task. We found that as participants learned to discriminate computer-generated ''blob'' stimuli, feedback modulated the amplitude of the errorrelated negativity (ERN)--an ERP component thought to reflect error evaluation within medial-frontal cortex. As participants improved at the categorization task, we also observed an increase in amplitude of an ERP component associated with object recognition (the N250). The increase in N250 amplitude preceded an increase in amplitude of an ERN component associated with internal error evaluation (the response ERN). Importantly, these electroencephalographic changes were not observed for participants who failed to improve on the categorization task. Our results suggest that the acquisition of perceptual expertise relies on interactions between the posterior perceptual system and the reinforcement learning system involving medial-frontal cortex. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
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