Computational and Clinical Approaches to Pattern Recognition and Concept Formation

MICHAEL L. COMMONS RICHARD J. HERRNSTEIN STEPHEN M. KOSSLYN DAVID B. MUMFORD all Harvard University.

• 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.