Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications

ISBN 10: 1609600215 / ISBN 13: 9781609600211

Published by Medical Info Science Reference, 2010

About this Item

Seller Inventory # BCV.1609600215.N

Bibliographic Details

• Title: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications
• Publisher: Medical Info Science Reference
• Publication Date: 2010
• Language: English
• ISBN 10: 1609600215
• ISBN 13: 9781609600211
• Binding: Hardcover
• Condition: new

About this title

Synopsis

In recent years there has been increased interest in developing computational and mathematical models of learning and adaptation. Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications captures the latest research in this area, providing a learning theorists with a mathematically sound framework within which evaluate their models. The significance of this book lies in its theoretical advances, which are grounded in an understanding of computational and biological learning. The approach taken moves the entire field closer to a watershed moment of learning models, through the interaction of computer science, psychology and neurobiology.

About the Author

Eduardo Alonso is a Senior Lecturer at City University London. He is an expert on Artificial Intelligence in particular on the interdisciplinary bridges between machine learning and animal learning. He has published dozens of papers and contributions to Artificial Intelligence volumes (e.g., in The Cambridge Handbook of Artificial Intelligence, to appear in 2010, ISBN-10: 0521871425). His survey paper "AI and Agents: State of the Art", AI Magazine 23(3): Fall 2002, 25-30, is still recommended as a general reading at AAAI's AI Topics-Agents. He is the Public Understanding Officer of The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, the eldest learned Artificial Intelligence society in Europe, and a member of the Society for Computational Modeling of Associative Learning. He is also a member of the EPSRC College.

Esther Mondragón held several research positions at the Department of Psychology at the University of York and at the Cognitive, Perceptual and Brain Sciences Unit at University College London. Her research focuses on Behavioural Neuroscience, specializing in the study of animal learning and cognition from the theoretical background of associative models of conditioning. She has published her work in, among others, Science, Learning and Behavior, and The Quarterly Journal of Experimental Psychology. She contributed to the book Occasion Setting (APA, 1998). Recently, she founded the Centre for Computational and Animal Learning Research that she co-chairs.