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Impaired Cognitive Flexibility and Intact Cognitive Control in Autism: A Computational Cognitive Neuroscience Approach

dc.creatorKriete, Trenton Edward
dc.date.accessioned2020-08-22T00:20:06Z
dc.date.available2006-04-08
dc.date.issued2005-04-08
dc.identifier.urihttps://etd.library.vanderbilt.edu/etd-04012005-125030
dc.identifier.urihttp://hdl.handle.net/1803/11882
dc.description.abstractIn people with autism, the ability to enact a behavior in the presence of competing responses appears intact, while the ability to fluently adapt cognitive control in the face of changing task contingencies is impaired. In this paper, the Cross-Task Generalization model (Rougier et al., in press), which offers a formal account of the effect of dopamine on frontal cortex function, is used to capture performance of both normally functioning individuals and people with autism on a classic test of cognitive control, the Stroop task (Stroop, 1935), and one of cognitive flexibility, the Wisconsin Card Sort Test (Berg, 1948). By weakening the effect of the dopamine signal on frontal cortex, the model fits quantitative and qualitative results of autistic performance on these tasks and demonstrates the potential usefulness of computational cognitive neuroscience approaches in autism research.
dc.format.mimetypeapplication/pdf
dc.subjectAutism
dc.subjectCognitive Model
dc.subjectModel
dc.subjectDopamine
dc.subjectPrefrontal Cortex
dc.titleImpaired Cognitive Flexibility and Intact Cognitive Control in Autism: A Computational Cognitive Neuroscience Approach
dc.typethesis
dc.contributor.committeeMemberRobert E. Bodenheimer
dc.type.materialtext
thesis.degree.nameMS
thesis.degree.levelthesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorVanderbilt University
local.embargo.terms2006-04-08
local.embargo.lift2006-04-08
dc.contributor.committeeChairDavid C. Noelle


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