Brain Organization and Memory

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.

• 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.