hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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EUR 58,90
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Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Da: Majestic Books, Hounslow, Regno Unito
EUR 94,21
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Da: Revaluation Books, Exeter, Regno Unito
EUR 90,41
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 300 pages. 9.00x6.00x0.75 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 106,63
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Editore: Elsevier Science Publishing Co Inc, 2017
ISBN 10: 0128098252 ISBN 13: 9780128098257
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 100,56
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 750.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 81,31
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 99,65
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational Psychiatry: Mathematical Modeling of Mental Illness is the first systematic effort to bring together leading scholars in the fields of psychiatry and computational neuroscience who have conducted the most impactful research and scholarship in this area. It includes an introduction outlining the challenges and opportunities facing the field of psychiatry that is followed by a detailed treatment of computational methods used in the service of understanding neuropsychiatric symptoms, improving diagnosis and guiding treatments. This book provides a vital resource for the clinical neuroscience community with an in-depth treatment of various computational neuroscience approaches geared towards understanding psychiatric phenomena. Its most valuable feature is a comprehensive survey of work from leaders in this field.