Citation: Alonso, E. & Mondragon, E. (2010). Computational models of learning and beyond: Symmetries of associative learning. In: Computational Neuroscience for Advancing Artificial Intelligence: Models, . IGI Global. ISBN 9781609600211 This is the published version of the paper.This version of the publication may differ from the final published version. Copyright © 2011 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.
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Library of Congress Cataloging-in-Publication DataComputational neuroscience for advancing artificial intelligence : models, methods and applications / Eduardo Alonso and Esther Mondragon, editors. p. cm. Summary: "This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuropsychological models and computational models"--Provided by publisher.Includes bibliographical references and index. ISBN 978-1-60960-021-1 (hardcover) --ISBN 978-1-60960-023-5 (ebook) 1.