Advances in Clinical Cognitive Science: Formal Modeling of Processes and SymptomsRichard W. J. Neufeld "Many of the techniques of quantitative cognitive science hold promise for aiding individuals who have problems in living. Increasingly, these studies are appearing in mainstream clinical-science and clinical-practice journals. The contributors to this volume showcase fertile clinical applications of quantitative cognitive science in charting abnormalities among groups and individuals; they also show how readers can apply these techniques in their own research, assessment, and practice. The contributors are cognitive scientists who have formally modeled clinically relevant aspects of cognitive functioning among special populations as well as clinical scientists who have adapted techniques of quantitative cognitive science to advance their clinical research and assessment. The chapters feature findings from studies of specific clinical populations and disorders. They also present quantitative techniques and associated data-acquisition methods that have general application. Much clinically significant information would be untapped but for the application of the kinds of formal task-performance models detailed in this book. The paradigms and models described are ideally suited for computer-assisted equipment and can be used to explore the neurocircuitry of assessed functions through functional magnetic resonance imaging and electrophysiological technology. This cutting-edge collection will have lasting impact on cognitive explorations of clinical problems"--Jacket. (PsycINFO Database Record (c) 2007 APA, all rights reserved) |
Contents
Introduction | 3 |
Using Multinomial Processing Tree Models | 19 |
A ModelBased StorageRetrieval Analysis | 51 |
Copyright | |
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6P model affect analysis Ashby attention auditory Batchelder Bayesian behavior beta distribution Busemeyer capacity category learning category structure Chechile clinical populations cognitive processes cognitive science complex computational condition control participants cortex deficits depressed Dirichlet distribution distribution dynamics dyslexia encoding load entropy Equation evaluate examine expectancy-valence model Figure Filoteo function hallucinations Huntington's Huntington's disease hypothesis individual differences information-integration Iowa gambling task latencies linear Maddox Mathematical Psychology measurement memory method mixture model monotonic mood disorders MPT model multinomial distribution multinomial processing tree Neufeld neural neurons noise nonlinear normal observed paradigm parameter estimates paranoid schizophrenia Parkinson's disease PD patients perceptual performance poor readers predictions prefrontal cortex present probability processing tree models Psychological Assessment quantitative recall recognition response Riefer sample entropy schizophrenia selective selective-attention similar simulation specific speech perception statistical stochastic storage and retrieval target theoretical theory tion Townsend trials variance visual