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

Gluck, Mark A. A

ISBN 10: 0262571528 / ISBN 13: 9780262571524

Published by MIT Press, 2001

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Seller Inventory # wbs2395444682

Synopsis:

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.

About the Authors:

Mark A. Gluck is Associate Professor of Neuroscience at Rutgers University-Newark.

Catherine E. Myers is Research Assistant Professor of Psychology at Rutgers University-Newark.

Bibliographic Details

Title: Gateway to Memory: An Introduction to Neural...
Publisher: MIT Press
Publication Date: 2001
Binding: Soft cover
Condition: Good