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

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

Book Description

Publication Date: November 27, 2000 | Series: Issues in Clinical and Cognitive Neuropsychology

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.

Editorial Reviews

Review

"Gateway to Memory is a valuable addition to the introductory textsdescribing neural network models of learning and memory. The early chapterspresent abstract models of brain and learning in an intuitively appealingstyle that is accessible to lay readers as well as advanced students ofnetwork modeling. Later chapters, relevant to experts as well as novices,advance cutting-edge ideas and models that are tested closely byexperimental results on learning. A particular virtue is the closeinterchange the authors maintain throughout between predictions ofcompeting models and experimental results from animal and human learning." Gordon H. Bower, Department of Psychology, Stanford University

" Gateway to Memory is a valuable addition to the introductory textsdescribing neural network models of learning and memory. The early chapterspresent abstract models of brain and learning in an intuitively appealingstyle that is accessible to lay readers as well as advanced students ofnetwork modeling. Later chapters, relevant to experts as well as novices,advance cutting-edge ideas and models that are tested closely byexperimental results on learning. A particular virtue is the closeinterchange the authors maintain throughout between predictions ofcompeting models and experimental results from animal and human learning." Gordon H. Bower , Department of Psychology, Stanford University

" Gateway to Memory is an exciting and badly needed text that integratescomputational 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, HarvardUniversity, and author of Searching for Memory

From the Publisher

"If you purchase only one book at the turn of the new milleniumto teach you about the latest computational models of memory andamnesia, let it be Gateway to Memory. Gluck and Myers displaytheir extraordinary ability to simplify difficult concepts so that abroad readership can appreciate the breadth and depth of the rapidadvances in the cognitive neuroscience of memory being made bythe best and brightest of computational modelers." -- Jordan Grafman, Ph.D., Chief, Cognitive Neuroscience Section, National Institute of Neurological Disorders and Stroke

"Gateway to Memory is an exciting and badlyneeded text that integrates computational andneurobiological approaches to memory.Authoritative and clearly written, this book willbe 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 a very user-friendly introduction to the world of computer models of the brain, with an emphasis on how the hippocampus and associated areas mediate memory. The authors take the time to explain in detail the rationale for making models of the brain, and then use their own work, as well as related neurobiological and computational research, to illustrate the emerging successes of this approach to understanding brain function." -- Howard Eichenbaum, Laboratory of Cognitive Neurobiology, University Professor and Professor of Psychology, Boston University

"Gateway 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

"This delectable book lays out Gluck and Meyers' comprehensive theory of hippocampal function in easily digestible steps. Readers without a computational modeling background will find it accessible and intriguing. Practicing modelers will be inspired." -- David S. Touretzky, Center for the Neural Basis of Cognition, Carnegie Mellon University

See all Editorial Reviews

Product Details

• Reading level: Ages 18 and up
  
• Hardcover: 464 pages
• Publisher: A Bradford Book; 1st edition (November 27, 2000)
• Language: English
• ISBN-10: 0262072114
• ISBN-13: 978-0262072113
• Product Dimensions: 9.3 x 7.4 x 1 inches
• Shipping Weight: 1.9 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #1,548,127 in Books (See Top 100 in Books)
  • #32 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Cognitive Simulation

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Customer Reviews

Most Helpful Customer Reviews

7 of 8 people found the following review helpful:

5.0 out of 5 stars An extremely useful introductory text, March 5, 2002

By 

Ian F. Brillembourg "Ianfe" (Seattle, WA) - See all my reviews
(REAL NAME)   

This review is from: Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology) (Hardcover)

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!).

1 of 10 people found the following review helpful:

5.0 out of 5 stars Good reading hippocampus, August 5, 2003

By 

Y.J.KIM MD "Neurokim" (Incheon, Korea) - See all my reviews

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

reading this book, i think very interesting neural network modeling hippocampus. so GOOD