Computational models inform clinical science and assessment: an application to category learning in striatal-damaged patients

DOI10.1016/j.jmp.2009.01.004zbMath1203.91259OpenAlexW2091976309WikidataQ40255732 ScholiaQ40255732MaRDI QIDQ972229

J. Vincent Filoteo, Dagmar Zeithamova, W. Todd Maddox

Publication date: 25 May 2010

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2861423

zbMATH Keywords

modelingcategorizationParkinson's diseaseexecutive functionHuntington's diseasestriatum

Mathematics Subject Classification ID

Medical applications (general) (92C50) Memory and learning in psychology (91E40)

Related Items (1)

Cognitive model decomposition of the BART: assessment and application

Cites Work

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• Maximum-likelihood estimation of a multivariate Gaussian rating model with excluded data
• Implications of marginal and conditional detection parameters for the separabilities and independence of perceptual dimensions
• A stochastic version of general recognition theory
• A new look at the statistical model identification

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