- Paperback: 464 pages
- Publisher: MIT Press; New Edition edition (3 Sep 2001)
- Language English
- ISBN-10: 0262571528
- ISBN-13: 978-0262571524
- Product Dimensions: 23.2 x 17.8 x 2 cm
- Amazon Bestsellers Rank: 2,038,987 in Books (See Top 100 in Books)
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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
Product Description
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.
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2 reviews
7 of 8 people found the following review helpful
An extremely useful introductory text
6 Mar 2002
Format: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
Good reading hippocampus
5 Aug 2003
Format:Paperback
reading this book, i think very interesting neural network modeling hippocampus. so GOOD
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