Parallel Models of Associative Memory (eBook, PDF)

Updated Edition
Redaktion: Hinton, Geoffrey E.; Anderson, James A.

• Format: PDF

Produktbeschreibung

This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 352
• Erscheinungstermin: 25. Februar 2014
• Englisch
• ISBN-13: 9781317785217
• Artikelnr.: 40529011

Autorenporträt

Geoffrey E. Hinton, James A. Anderson

Inhaltsangabe

Contents: G.E. Hinton
J.A. Anderson
Introduction to the Updated Edition. D.E. Rumelhart
D.A. Norman
Introduction. J.A. Anderson
G.E. Hinton
Models of Information Processing in the Brain. J.A. Feldman
A Connectionist Model of Visual Memory. D. Willshaw
Holography
Associative Memory
and Inductive Generalization. T. Kohonen
E. Oja
P. Lehtiö
Storage and Processing of Information in Distributed Associative Memory Systems. S.E. Fahlman
Representing Implicit Knowledge. G.E. Hinton
Implementing Semantic Networks in Parallel Hardware. T.J. Sejnowski
Skeleton Filters in the Brain. J.A. Anderson
M.C. Mozer
Categorization and Selective Neurons. S. Geman
Notes on a Self-Organizing Machine. R. Ratcliff
Parallel-Processing Mechanisms and Processing of Organized Information in Human Memory.