Neurocomputing 2: Volume 2 (häftad)
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Bradford Books
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Neurocomputing 2: Volume 2 (häftad)

Neurocomputing 2: Volume 2

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Häftad Engelska, 1993-08-01
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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.
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Övrig information

Andras Pellionisz is a Research Associate Professor in the Department of Physiology and Biophysics at New York Medical Center and a Senior National Research Council Associate to NASA. Edward Rosenfeld is editor and publisher of the newsletter Intelligence.


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).