Neural Network Models of Conditioning and Action

Michael L. Commons, Stephen Grossberg, John Staddon

• Publisher: Routledge
• Year: 2016
• eBook ISBN: 9781317275985
• Edition: 1
• Topic: Psychology
• Subtopic: Cognitive Neuroscience & Neuropsychology
• Index: Psychology

Originally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs – an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots.
Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena – and neural network models provide a natural framework for representing and analysing such interactions – all the articles either develop neural network models or provide biological constraints for guiding and testing their design.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Original Title Page
• Original Copyright Page
• Table of Contents
• About the Editors
• About the Contributors
• Preface
• PART I. MODELS OF CLASSICAL CONDITIONING
• PART II. MODELS OF INSTRUMENTAL CONDITIONING
• Author Index
• Subject Index