A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test

Neural Networks

Volumn 19, Issue 4, 2006, Pages 375-387

  Kaplan, Gülay B ^a   Şengör, Neslihan S ^b   Gürvit, Hakan ^c   Genç, Ibrahim ^a   Güzeliş, Cüneyt ^d  

^a MATERIALS INSTITUTE   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^c ISTANBUL UNIVERSITY   (Turkey)

^d DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

Computational modeling; Distractibility; Executive functions; Hamming network; Hopfield network; Perseveration; Prefrontal cortex; Wisconsin card sorting test

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; MATHEMATICAL MODELS; SORTING;

COMPUTATIONAL MODELING; DISTRACTIBILITY; EXECUTIVE FUNCTIONS; HAMMING NETWORK; HOPFIELD NETWORK; PERSEVERATION; PREFRONTAL CORTEX; WISCONSIN CARD SORTING TEST;

NEURAL NETWORKS;

ARTICLE; BRAIN DAMAGE; CONTROLLED STUDY; DISTRACTIBILITY; GENERATOR; HUMAN; HYPOTHESIS; MAJOR CLINICAL STUDY; MODEL; NERVE CELL NETWORK; PERFORMANCE; PERSEVERATION; PREFRONTAL CORTEX; PRIORITY JOURNAL; SIMULATION; WISCONSIN CARD SORTING TEST; WORKING MEMORY;

ATTENTION; BRAIN DISEASES; COGNITION DISORDERS; COLOR PERCEPTION; COMPUTER SIMULATION; HUMANS; NEURAL NETWORKS (COMPUTER); NEUROPSYCHOLOGICAL TESTS; PHOTIC STIMULATION; PROBLEM SOLVING;

EID: 33744914323     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.08.015     Document Type: Article

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