Directions for research

著者

• Anderson, James A.
• Pellionisz, Andras
• Rosenfeld, Edward

書誌事項

Directions for research

edited by James A. Anderson, Andras Pellionisz, and Edward Rosenfeld

（Neurocomputing, 2）

MIT Press, c1990

• : pbk

注記

Includes bibliographies and indexes

"A Bradford book"--Jacket

内容説明・目次

巻冊次

ISBN 9780262011198

内容説明

In bringing together seminal articles on the foundations of research, the first volume of "Neurocomputing has become an established guide to the background of concepts employed in this burgeoning field. "Neurocomputing 2 collects thirty-nine articles covering network architecture, neurobiological computation, statistics and pattern classification, and problems and applications, that suggest important directions for the evolution of neurocomputing. Many of the most valuable practical ideas for neurocomputing in the 1990s may well come from work in neurobiology and computational neuroscience. The articles in this section discuss central issues in neuroscience as well as information-processing strategies for handling computation in the mammalian nervous system. Although neural networks are useful models to explain many aspects of the function of brain and mind, they have intrinsic difficulties. These are underscored in articles by Minsky and Papert, who conclude that much current work has not answered the twenty-year-old criticisms in "Perceptrons, and by Fodor and Pylyshyn, who argue that there are aspects of human cognition that cannot be explained by simple associations. The book-concludes with interesting, diverse applications of neural networks - in digit recognition, speech recognition, object motion, arithmetic teaming, and in formal techniques for predicting the behavior of the stock market, and for predicting secondary protein structure. James A. Anderson is Professor in the Department of Cognitive and Linguistic Sciences at Brown University. Andras Pellionicz is a Research Associate Professor in the Department of Physiology and Biophysics at New York University Medical Center.Edward Rosenfeld in editor and publisher of the newsletters "Intelligence - The Future of Computing and "Medical Intelligence.

巻冊次

: pbk ISBN 9780262510752

内容説明

In bringing together seminal articles on the foundations of research, the first volume of Neurocomputing has become an established guide to the background of concepts employed in this burgeoning field. Neurocomputing 2 collects forty-one articles covering network architecture, neurobiological computation, statistics and pattern classification, and problems and applications that suggest important directions for the evolution of neurocomputing.

目次

• Part 1 Network architecture: "De memoria et reminiscentia", Aristotle
• "Cybernetics", Norbert Wiener
• "Outline of a theory of thought-processes and thinking machines", E.R. Caianiello
• "Adaptive systems using learning matrices", K. Steinbuch and E. Schmitt
• "A memory storage model utilizing spatial correlation functions", James A. Anderson
• "Associatron - a model of associative memory", Kaoru Nakano
• "The holographic hypothesis of memory structure in brain function and perception", Karl H. Pribram et al
• "How patterned neural connections can be set up by self-organization", D.J. Willshaw and C. von der Malsburg
• "Topographic organization of nerve fields", Shun-ichi Amari
• "ART 2 - self-organization of stable category recognition codes for analog input patterns", Gail A. Carpenter and Stephen Grossberg
• "Bidirectional associative memories", Bart Kosko
• "Sparse distributed memory", Pentti Kanerva. Part 2 Computation and neurobiology: "What the frog's eye tells the frog's brain", J.Y. Lettvin et al
• "Single units and sensation - a neuron doctrine for perceptual psychology?", H.B. Barlow
• "Large receptive fields and spatial transformations in the visual system", J.T. McIlwain
• "The extent to which biosonar information is represented in the bat auditory context", Nobuo Suga
• "Learning by selection", J.-P. Changeux et al
• "Neuronal group selection in the cerebral cortex", Gerald M. Edelman and Leif H. Finkel
• "Plasticity in the organization of adult cerebral cortical maps - a computer simulation based on neuronal group selection", John C. Pearson et al
• "Tensor network theory of the metaorganization of functional geometries in the central nervous system", A. Pellionisz and R. Llinas
• "How brains make chaos in order to make sense of the world", Christine A. Skarda and Walter J. Freeman
• "Computational maps in the brain", Eric I. Knudsen et al
• "A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons", David Zipser and Richard A. Andersen
• "Long-term synaptic potentiation", Thomas H. Brown et al. Part 3 Statistics and pattern classification: "Learning machines", Nils Nilsson
• "Nearest neighbor pattern classification", T.M. Cover and P.E. Hart
• "Practical techniques for pattern recognition", Bruce G. Batchelor
• "A neural model for category learning", Douglas L. Reilly et al
• "A relaxation model for memory with high storage density", Charles M. Bachmann et al
• "Statistical pattern recognition with neural networks - benchmarking studies", Teuvo Kohonen et al
• "Self-organization in a perceptual network", Ralph Linsker
• "Image compression by back propagation - an example of extensional programming", Garrison W. Cottrell et al
• "Neural networks and principal component analysis - learning from examples without local minima", Pierre Baldi and Kurt Hornik. Part 4 Current applications and future problems: "Perceptrons", Marvin L. Minsky and Seymour A. Papert. (Part contents).

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA11648247
• ISBN:
  • 0262011190
  • 0262510758
• LCCN: 87003022
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Cambridge, Mass.
• ページ数/冊数: xxviii, 727 p.
• 大きさ: 29 cm
• 分類:
  • LCC : QP363.3
  • DC19 : 612/.81
  • NDC8 : 491.37
• 件名:
  • LCSH : Neural circuitry
  • LCSH : Computers -- Circuits
  • LCSH : Higher nervous activity
• 親書誌ID:
  • BA12487256