Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning

by Mark A. Gluck and Catherine E. Myers

Book 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 behavior, rather than the molecular or neuronal details. It also emphasizes the process of modeling, rather than the mathematical details of the models themselves...

• Format: Hardcover
• Language: English
• ISBN: 0262072114
• ISBN13: 9780262072113
• Release Date: November 2000
• Publisher: Bradford Book
• Length: 464 Pages
• Weight: 1.95 lbs.
• Dimensions: 1.0" x 7.3" x 9.3"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher

Customer Reviews

Good reading hippocampus

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

An extremely useful introductory text

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!).