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Añadir al carritoTaschenbuch. Condición: Neu. n-Dimensional Nonlinear Psychophysics | Theory and Case Studies | Robert A. M. Gregson | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Routledge | EAN 9780367764982 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Taylor & Francis, Routledge, 2023
ISBN 10: 0367764989 ISBN 13: 9780367764982
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Originally published in 1992, this work compliments and extends the theory and results of nonlinear psychophysics - an original approach created by the author. It breaks with the traditional mathematics used in the experimental psychology of sensation and draws on what is popularly known as chaos theory and its extension into neural networks. Topical and innovative in its approach, it integrates a diversity of topics previously treated separately into one framework. The properties of the mathematics used are illustrated in the context of substantive problems in psychophysics; thus, it builds strong new bridges between the dynamics of mass action in psychophysical processes and the broader phenomena of sensation. No other treatments of the topic take quite this approach; the use of systems theory, rather than traditional equations of psychophysics dating from the mid-nineteenth century, offers a striking contrast in both theory construction and data analysis. 320 pp. Englisch.
Idioma: Inglés
Publicado por Taylor & Francis, Routledge, 2023
ISBN 10: 0367764989 ISBN 13: 9780367764982
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Originally published in 1992, this work compliments and extends the theory and results of nonlinear psychophysics - an original approach created by the author. It breaks with the traditional mathematics used in the experimental psychology of sensation and draws on what is popularly known as chaos theory and its extension into neural networks. Topical and innovative in its approach, it integrates a diversity of topics previously treated separately into one framework. The properties of the mathematics used are illustrated in the context of substantive problems in psychophysics; thus, it builds strong new bridges between the dynamics of mass action in psychophysical processes and the broader phenomena of sensation. No other treatments of the topic take quite this approach; the use of systems theory, rather than traditional equations of psychophysics dating from the mid-nineteenth century, offers a striking contrast in both theory construction and data analysis.