Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease
Identifieur interne : 001495 ( Main/Exploration ); précédent : 001494; suivant : 001496Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease
Auteurs : Sébastien Helie [États-Unis] ; Erick J. Paul [États-Unis] ; F. Gregory Ashby [États-Unis]Source :
- Neural networks [ 0893-6080 ] ; 2012.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Intelligence artificielle, Homme.
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Abstract
Cools (2006) suggested that prefrontal dopamine levels are related to cognitive stability whereas striatal dopamine levels are related to cognitive plasticity. With such a wide ranging role, almost all cognitive activities should be affected by dopamine levels in the brain. Not surprisingly, factors influencing brain dopamine levels have been shown to improve/worsen performance in many behavioral experiments. On the one hand, Nadler, Rabi, and Minda (2010) showed that positive affect (which is thought to increase cortical dopamine levels) improves a type of categorization that depends on explicit reasoning (rule-based) but not another type that depends on procedural learning (information-integration). On the other hand, Parkinson's disease (which is known to decrease dopamine levels in both the striatum and cortex) produces proactive interference in the odd-man-out task (Flowers & Robertson, 1985) and renders subjects insensitive to negative feedback during reversal learning (Cools, Altamirano, & D'Esposito, 2006). This article uses the COVIS model of categorization to simulate the effects of different dopamine levels in categorization, reversal learning, and the odd-man-out task. The results show a good match between the simulated and human data, which suggests that the role of dopamine in COVIS can account for several cognitive enhancements and deficits related to dopamine levels in healthy and patient populations.
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Paul</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>University of California</s1><s2>Santa Barbara</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><wicri:noRegion>University of California</wicri:noRegion></affiliation></author><author><name sortKey="Gregory Ashby, F" sort="Gregory Ashby, F" uniqKey="Gregory Ashby F" first="F." last="Gregory Ashby">F. Gregory Ashby</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>University of California</s1><s2>Santa Barbara</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><wicri:noRegion>University of California</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Neural networks</title><title level="j" type="abbreviated">Neural netw.</title><idno type="ISSN">0893-6080</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Neural networks</title><title level="j" type="abbreviated">Neural netw.</title><idno type="ISSN">0893-6080</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Activity</term><term>Artificial intelligence</term><term>Basal ganglion</term><term>Behavioral analysis</term><term>Brain</term><term>Categorization</term><term>Central nervous system</term><term>Cognition</term><term>Cognitive theory</term><term>Dopamine</term><term>Encephalon</term><term>Expert system</term><term>Human</term><term>Inelasticity</term><term>Information integration</term><term>Modeling</term><term>Plasticity</term><term>Proactive service</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Cognition</term><term>Analyse comportementale</term><term>Intelligence artificielle</term><term>Système expert</term><term>Intégration information</term><term>Service proactif</term><term>Dopamine</term><term>Homme</term><term>Théorie cognitive</term><term>Inélasticité</term><term>Plasticité</term><term>Activité</term><term>Cerveau</term><term>Encéphale</term><term>Système nerveux central</term><term>Catégorisation</term><term>Modélisation</term><term>Noyau gris central</term><term>.</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Intelligence artificielle</term><term>Homme</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Cools (2006) suggested that prefrontal dopamine levels are related to cognitive stability whereas striatal dopamine levels are related to cognitive plasticity. With such a wide ranging role, almost all cognitive activities should be affected by dopamine levels in the brain. Not surprisingly, factors influencing brain dopamine levels have been shown to improve/worsen performance in many behavioral experiments. On the one hand, Nadler, Rabi, and Minda (2010) showed that positive affect (which is thought to increase cortical dopamine levels) improves a type of categorization that depends on explicit reasoning (rule-based) but not another type that depends on procedural learning (information-integration). On the other hand, Parkinson's disease (which is known to decrease dopamine levels in both the striatum and cortex) produces proactive interference in the odd-man-out task (Flowers & Robertson, 1985) and renders subjects insensitive to negative feedback during reversal learning (Cools, Altamirano, & D'Esposito, 2006). This article uses the COVIS model of categorization to simulate the effects of different dopamine levels in categorization, reversal learning, and the odd-man-out task. The results show a good match between the simulated and human data, which suggests that the role of dopamine in COVIS can account for several cognitive enhancements and deficits related to dopamine levels in healthy and patient populations.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country></list><tree><country name="États-Unis"><noRegion><name sortKey="Helie, Sebastien" sort="Helie, Sebastien" uniqKey="Helie S" first="Sébastien" last="Helie">Sébastien Helie</name></noRegion><name sortKey="Gregory Ashby, F" sort="Gregory Ashby, F" uniqKey="Gregory Ashby F" first="F." last="Gregory Ashby">F. Gregory Ashby</name><name sortKey="Paul, Erick J" sort="Paul, Erick J" uniqKey="Paul E" first="Erick J." last="Paul">Erick J. 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