Computational and Clinical Approaches to Pattern Recognition and Concept Formation
Quantitative Analyses of Behavior, Volume IX
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Computational and Clinical Approaches to Pattern Recognition and Concept Formation: Quantitative Analyses of Behavior, Volume IX
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Book Description
The ninth volume in this highly acclaimed series discusses the computational and clinical approaches to pattern recognition and concept formation regarding: visual and spatial processing models; computational models, templates and hierarchical models. An ideal reference for students and professionals in experimental psychology and behavioral analysis.
Table of Contents
Contents: Part I:Visual and Spatial Processing Models. E. Bisiach, S. Meregalli, A. Berti, Mechanisms of Production-Control and Belief-Fixation in Human Visuo-Spatial Processing Clinical Evidence from Hemispatial Neglect. G.A. Carpenter, S. Grossberg, Neural Dynamics of Category Learning and Recognition: Structural Invariants, Reinforcements, and Evoked Potentials. M.A. Cohen, S. Grossberg, Unitized Recognition Codes for Parts and Wholes: The Unique Cue in Configural Discriminations. A. Trehub, A Confusion Matrix for Hand-Printed Alphabetic Characters: Testing a Neuronal Model. Part II:Computational Models. J.A. Feldman, Massively Parallel Computational Models. Part III:Template and Hierarchical Models. E.G. Heinemann, S. Chase, A Quantitative Model for Pattern Recognition. M.L. Commons, P.W. Hallinan, W. Fong, K.G. McCarthy, Intelligent Pattern Recognition: Hierarchical Organization of Concepts.