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Computational and Clinical Approaches to Pattern Recognition and Concept Formation: Quantitative Analyses of Behavior
     

Computational and Clinical Approaches to Pattern Recognition and Concept Formation: Quantitative Analyses of Behavior

by Michael L. Commons, Richard J. Herrnstein, Stephen M. Kosslyn, David B. Mumford
 

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ISBN-10: 0805803998

ISBN-13: 9780805803990

Pub. Date: 01/01/1990

Publisher: Taylor & Francis

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.

Overview

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.

Product Details

ISBN-13:
9780805803990
Publisher:
Taylor & Francis
Publication date:
01/01/1990
Series:
Quantitative Analyses of Behavior Series
Pages:
176
Product dimensions:
6.00(w) x 9.10(h) x 0.60(d)
Lexile:
1420L (what's this?)

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.

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