A Model System for Computational Neuroscience
331 pp., 7 x 10 in,
- Published: July 1, 2008
- Published: November 4, 1991
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.
I. 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.
Bradford Books imprint
Once overlooked by most neuroscientists, the olfactory system lately has come into its own. This welcome volume, featuring contributions by leading neurobiologists and computational neuroscientists, spotlights recent progress in experimental and theoretical research on the olfactory system. These chapters treat the reader to splendid examples of the benefits of combining neuroanatomical, neurophysiological, and behavioral work with computational approaches and modeling in studies of neural systems.
John G. Hildebrand, Regents' Professor and Chairman of the Program in Neuroscience University of Arizona
Olfaction is our least understood sense and might seem an unlikely candidate for computational modeling. This book makes a convincing case that our sense of smell is ripe for modeling at the cellular and network levels and may be a better system for studying learning than our sense of vision.
Terrence J. Sejnowski, Professor at the Salk Institute and Professor of Biology and Physics at the University of California