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  • 1
    Buch
    Buch
    Cambridge, United Kingdom : Cambridge University Press
    UID:
    gbv_1847828477
    Umfang: X, 179 pages
    ISBN: 9781108827041
    Inhalt: "Explores the neurophysiology of decision-making and the mechanisms behind procrastination, discussing the applications of the LATER model. This is essential reading for psychologists, cognitive neuroscientists, neurophysiologists interested in decision-making in addition to being highly valued by clinicians and medical students"--
    Inhalt: Why is deciding to do something sometimes so slow and difficult? How do we make decisions when lacking key information? When making decisions, the higher areas of the brain deliberately suppress lower areas capable of generating much faster but ill-considered responses while they develop ones that are more sophisticated, based on what can be gained in return. In this engaging book, the authors explore the increasingly popular neural model that may explain these mechanisms: the linear approach to threshold ergodic rate (LATER). Presenting a detailed description of the neurophysiological processes involved in decision-making and how these link to the LATER model, this is the first major resource covering the applications in describing human behaviour. With over 100 illustrations and a thorough discussion of the mathematics supporting the model, this is a rigorous yet accessible resource for psychologists, cognitive neuroscientists and neurophysiologists interested in decision-making
    Anmerkung: Includes bibliographical references and index , The slowness of reaction time -- LATER as a model of latency -- LATER as a model of decision --Complex decisions : multiple LATER units --Implementing LATER in the brain -- Larger implications.
    Weitere Ausg.: ISBN 9781108920803
    Weitere Ausg.: Erscheint auch als Online-Ausgabe Carpenter, R. H. S. (Roger H. S.), 1945-2017 LATER Cambridge, United Kingdom : Cambridge University Press, 2023 ISBN 9781108920803
    Sprache: Englisch
    Schlagwort(e): Entscheidungsfindung ; Nervennetz ; Modell ; Ergodizität ; Schwellenwert
    URL: Cover
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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