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Overview"This book is for students and researchers who have a specific interest in learning and memory and want to understand how computational models can be integrated into experimental research on the hippocampus and learning. It emphasizes the function of brain structures as they give rise to behaviour, rather than the molecular or neuronal details. It also emphasizes the process of modelling, rather than the mathematical details of the models themselves. The book is divided into two parts. The first part provides a tutorial introduction to topics in neuroscience, the psychology of learning and memory, and the theory of neural network models. The second part, the core of the book, reviews computational models of how the hippocampus cooperates with other brain structures -including the entorhinal cortex, basal forebrain, cerebellum, and primary sensory and motor cortices - to support learning and memory in both animals and humans. The book assumes no prior knowledge of computational modelling or mathematics. For those who wish to delve more deeply into the formal details of the models, there are optional ""mathboxes"" and appendices. The book also includes extensive references and suggestions for further readings." Full Product DetailsAuthor: Mark A. Gluck (Ctr Mol/Beh Neurosci) , Catherine E. MyersPublisher: MIT Press Ltd Imprint: Bradford Books Dimensions: Width: 17.80cm , Height: 1.90cm , Length: 22.90cm Weight: 0.862kg ISBN: 9780262072113ISBN 10: 0262072114 Pages: 464 Publication Date: 22 November 2000 Recommended Age: From 18 to 99 years Audience: College/higher education , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: No Longer Our Product Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviewsGateway to Memory is a valuable addition to the introductory texts describing neural network models of learning and memory. The early chapters present abstract models of brain and learning in an intuitively appealing style that is accessible to lay readers as well as advanced students of network modeling. Later chapters, relevant to experts as well as novices, advance cutting-edge ideas and models that are tested closely by experimental results on learning. A particular virtue is the close interchange the authors maintain throughout between predictions of competing models and experimental results from animal and human learning. --Gordon H. Bower, Department of Psychology, Stanford University Author InformationMark A. Gluck is Associate Professor of Neuroscience at Rutgers University-Newark. Catherine E. Myers is Research Assistant Professor of Psychology at Rutgers University-Newark. Tab Content 6Author Website:Countries AvailableAll regions |
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