Brain Organization and Memory

Brain Organization and Memory : Cells, Systems, and Circuits

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The book reviews recent progress in understanding forms of memory in animals and humans and the interaction of cortical and subcortical systems in the regulation of memory. It will be an invaluable source for cognitive psychologists, neuroscientists, and students.
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Product details

  • Paperback | 432 pages
  • 156.2 x 235.5 x 25.7mm | 806.19g
  • Oxford, United Kingdom
  • English
  • Reprint
  • numerous black and white photographs, line drawings and tables
  • 0195077121
  • 9780195077124

Back cover copy

This volume is the third in a series. Like its predecessors, Neurobiology of Learning and Memory and Memory Systems of the Brain, this book is the outgrowth of a conference that was organized by the Center for the Neurobiology of Learning and Memory of the University of California, Irvine.
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Table of contents

J. Bures: Neurobiology of Memory: The Significance of Anomalous Findings; PART I: Forms of Memory; M. Gallagher: Introduction; T. J. Carew et al.: The Development of Learning and Memory in Aplysia; R. G. M. Morris: Synaptic Plasticity, Neural Architecture, and Forms of Memory; P. C. Holland: Forms of Memory in Pavlovian Conditioning; M. K. Johnson: Functional Forms of Human Memory; N. M. Weinbergner: Neuromnemonics: Forms and Contents; R. W. Doty: Time and Memory; A.
P. Shimamura: Forms of Memory: Issues and Directions; PART II: Regulation of Cortical Function in Memory; M. R. Rosennzweig: Introduction; E. T. Rolls: Functions of Neuronal Networks in the Hippocampus and of Backprojections in the Cerebral Cortex in Memory; W. Singer: Ontogenetic Self-Organization
and Learning; G. W. Van Hoesen: The Dissection by Alzheimer's Disease of Cortical and Limbic Neural Systems Relevant to Memory; H. P. Killackey: The Neocortex and Memory Storage; R. A. Anderson and D. Zipser: A Network Model for Learned Spatial Representation in the Posterior Parietal Cortex; P. S. Goldman-Rakic: Cortical Localization of Working Memory; PART III: Representations - Beyond the Single Cell; G. L. Shaw: Introduction; L. N. Cooper, et al.: Neural Networks: Test Tubes to Theorems; I.
Kohonan: Notes on Neural Computing and Associative Memory; I. J. Sejnowski and G. Tesauro: Building Network Learning and Algorithms from Hebbian Synapses; C. von der Malsburg: A Neural Architecture for the Representation of Scenes; W. J. Freeman and C. A. Skarda: Representations: Who Needs Them?; G.
L. Gerstein: Interactions Within Neuronal Assemblies: Theory and Experiment; G. Lynch et al.: Neural Networks and Networks of Neurons; Index.
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Review quote

The book is well structured ... the hard work involved is rewarded with the overall feeling that satisfying syntheses of these disparate approaches to brain functioning are brought that much closer by this type of volume.' * C.D. McCaig, Experimental Physiology (1993), 78 * The Preface ends by telling us that the leitmotif of the book is excitement and by expressing the hope that this will be shared by the reader. There is excitement herein, not least in that the hard work involved is rewarded with the overall feeling that satisfying synthesis of these disparate approaches to brain functioning are brought that much closer by this type of volume. * C.D. Craig, Experimental Physiology (1993), 78 *
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