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Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology) | Paperback

by Mark A. Gluck (Author), Catherine E. Myers (Author)

List Price:

$27.00

Available:

Usually ships in 24 hours

Binding:

Paperback

Publisher:

The MIT Press

Edition:

1st Edition

Page Count:

464 Pages

Publication Date:

August 01, 2001

Sales Rank:

882,262nd

EDITORIAL REVIEWS

Product Description
"Gateway to Memory is an exciting and badly needed text that integrates computational and neurobiological approaches to memory. Authoritative and clearly written, this book will be valuable for students and researchers alike." -- Daniel L. Schacter, Professor and Chair of Psychology, Harvard University, and author of Searching for Memory 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 behavior, rather than the molecular or neuronal details. It also emphasizes the process of modeling, 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 modeling 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.

CUSTOMER REVIEWS (Average Customer Rating: 5.0 based on 2 reviews)

Good reading hippocampus by Y.J.KIM MD (Incheon, Korea)

5 Stars
August 05, 2003
reading this book, i think very interesting neural network modeling hippocampus. so GOOD

An extremely useful introductory text by Ian F. Brillembourg (Seattle, WA)

5 Stars
March 06, 2002
To those students, mostly at the undergraduate level, that are not applied mathematic specialists and have looked for an easy to understand, well written, introduction to Neural Networks in learning processes; this is a must-have book. "Gateway..." is an excellent read, targeted to readers from a wide scope of backgrounds, from Biologists to Computer Science Majors through Medical Sciences.Although leaning a bit too heavily on the conceptual view of the subject, the book introduces the reader gradually to what a Neural Network is, what a computer model is and how it works.Two basic tools are of special interest to the reader. First, the beginning half of the book gives a general, yet very complete, introduction of the concepts, history and theory to be used. Second, for those with a little more interest in the mathematics there's a good number of "Math Boxes" delving into the details of the subject(s).The effect of these tools is that, by the time you reach into the core matter of how neural networks models are constructed and worked in the field of Hippocampal memory, the reader suddenly finds his/herself well-familiarized with the theory. A comfortable, gradual, learning process has taken place without any discomfort (and in less time than you would think!).

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