title: Using connectionist models to guide assessment of psychological disorder.
abstract: Connectionist models are introduced as promising tools for understanding the nature of psychological disorders and guiding their assessment. Specifically, ways in which connectionist models can guide the following aspects of the assessment process are described: understanding what constructs are relevant to assess, designing approaches to assessing these constructs, and understanding individual differences in data from assessments. Two extended examples are given based on the authors' research on cognitive aspects of depression and Alzheimer's disease.
authors.affiliation: Department of Psychiatry, University of Pittsburgh, School of Medicine, USA. gsiegle@pitt.edu
authors.forename: Greg J
authors.initials: GJ
authors.lastname: Siegle
authors.forename: Michael E
authors.initials: ME
authors.lastname: Hasselmo
mesh_terms: D003936:Diagnosis, Computer-Assisted; D006801:Humans; D007206:Individuality; D001523:Mental Disorders / Q000175:diagnosis* / Q000523:psychology; D016571:Neural Networks, Computer; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D010552:Personality Assessment / Q000706:statistics & numerical data*; D011594:Psychometrics; D015203:Reproducibility of Results