This presentation of the foremost research and theory from disciplines that provide the foundations of neural network research--neurobiology, physics, computer science, electrical engineering, mathematics, and psychology--shows how neural networks and neurocomputing represent radical departures from conventional approaches to digital computers, in terms of algorithms and architecture.

An Introduction to Neural and Electronic Networks (Neural Networks, Foundations to Applications Series)

Computers & Technology

Davis, Joel L.

Certification

Academic Pr

Computational neuroscientists have recently turned to modeling olfactory structures because these are likely to have the same functional properties as currently popular network designs for perception and memory. This book provides a useful survey of current work on olfactory system circuitry, including connections of this system to brain structures involved in cognition and memory, and describes the computational models of olfactory processing that have been developed to date. Contributions cover empirical investigations of the neurobiology of the olfactory systems (anatomy, physiology, synaptic plasticity, behavioral physiology) as well as the application of computer models to understanding these systems. Fundamental issues in olfactory processing by the nervous systems such as experimental strategies in the study of olfaction, stages of odor processing, and critical questions in sensory coding are considered across empirical/applied boundaries and throughout the contributions. ContributorsI. Fundamental Anatomy, Physiology, and Plasticity of the Olfactory System, Gordon M. Shepherd. John S. Kauer, S. R. Neff, Kathryn A. Hamilton, and Angel R. Cinelli. Kevin L. Ketchum, Lewis B. Haberly. Joseph L. Price, S. Thomas Carmichael, Ken M. Carnes, Marie Christine Clugnet, Masaru Kuroda, and James P. Ray. Michael Leon, Donald A. Wilson, and Kathleen M. Guthrie. Gary Lynch and Richard Granger. Howard Eichenbaum, Tim Otto, Cynthia Wible, and Jean Piper. • II. Developments in Computational Models of the Olfactory System, DeLiang Wang, Joachim Buhmann, and Christoph von der Marlsburg. Walter Freeman. Richard Granger, Ursula Staubi, José Ambrose-Ingersoll, and Gary Lynch. James M. Bower. Dan Hammerstrom and Eric Means.

Olfaction: A Model System for Computational Neuroscience

Medical Books

Medicine

Bradford Books

This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models.
Recent years have seen a remarkable expansion of knowledge about the anatomical organization of the part of the brain known as the basal ganglia, the signal processing that occurs in these structures, and the many relations both to molecular mechanisms and to cognitive functions. This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models. Organized in four parts - fundamentals, motor functions and working memories, reward mechanisms, and cognitive and memory operations - the chapters present a unique admixture of theory, cognitive psychology, anatomy, and both cellular- and systems- level physiology written by experts in each of these areas. The editors have provided commentaries as a helpful guide to each part. Many new discoveries about the biology of the basal ganglia are summarized, and their impact on the computational role of the forebrain in the planning and control of complex motor behaviors discussed. The various findings point toward an unexpected role for the basal ganglia in the contextual analysis of the environment and in the adaptive use of this information for the planning and execution of intelligent behaviors. Parallels are explored between these findings and new connectionist approaches to difficult control problems in robotics and engineering.
Contributors James L. Adams, P. Apicella, Michael Arbib, Dana H. Ballard, Andrew G. Barto, J. Brian Burns, Christopher I. Connolly, Peter F. Dominey, Richard P. Dum, John Gabrieli, M. Garcia-Munoz, Patricia S. Goldman-Rakic, Ann M. Graybiel, P. M. Groves, Mary M. Hayhoe, J. R. Hollerman, George Houghton, James C. Houk, Stephen Jackson, Minoru Kimura, A. B. Kirillov, Rolf Kotter, J. C. Linder, T. Ljungberg, M. S. Manley, M. E. Martone, J. Mirenowicz, C. D. Myre, Jeff Pelz, Nathalie Picard, R. Romo, S. F. Sawyer, E Scarnat, Wolfram Schultz, Peter L. Strick, Charles J. Wilson, Jeff Wickens, Donald J. Woodward, S. J. Young

Models of Information Processing in the Basal Ganglia (Computational Neuroscience)

Houk, James C.

Science & Math

A giant step for medicine or the most serious threat to personal freedom yet? A cure for cancer or an invitation to genetic discrimination and the search for a master race? Here, not a minute too soon, is a behind-the-scenes account of the Human Genome Project, the most ethically and politically complex scientific undertaking of this generation. Dubbed the ``Holy Grail of Biology,'' the Genome Project will occupy over the next five to 15 years a majority of the best public and private labs and cost more than the GNP of many nations. This book separates fact from fiction, identifies the real moral issues in the debate, and captures the drama--as well as the intrigue and infighting--that has riveted the scientific establishment throughout.

Mapping the Code: The Human Genome Project and the Choices of Modern Science (Wiley Science Editions)

Biological Sciences

wiley

This book describes how to make, capture, store, and use antimatter. It is the answer to the skeptics who say that using antimatter is too risky, too difficult, or too expensive. Explains, step-by-step, how to greatly improve the cost-effectiveness of antimatter production, how antimatter can be used in power stations, and how it can improve the propulsion of interplanetary rocket engines by one or two orders of magnitude.

Mirror Matter (Wiley Science Editions)

Forward, Robert L.

Physics

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Books by Davis, Joel L.