Computational and Clinical Approaches to Pattern Recognition and Concept Formation

; ; ;

51,98 €
49,38 €
AGGIUNGI AL CARRELLO
NOTE EDITORE
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.

SOMMARIO
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.

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

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9781138971394
  • Collana: Quantitative Analyses of Behavior Series
  • Dimensioni: 9 x 6 in Ø 1.00 lb
  • Formato: Brossura
  • Pagine Arabe: 176