Librería: Buchpark, Trebbin, Alemania
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher.
Librería: 3rd St. Books, Lees Summit, MO, Estados Unidos de America
EUR 14,87
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Añadir al carritoHardcover. Condición: Very Good. Very good, clean, tight condition with USUAL EX-LIBRARY features. Text free of marks. Professional book dealer since 1999. All orders are processed promptly and carefully packaged.
Librería: Goldstone Books, Llandybie, Reino Unido
EUR 41,66
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Añadir al carritohardcover. Condición: Very Good. All orders are dispatched within one working day from our UK warehouse. We've been selling books online since 2004! We have over 750,000 books in stock. No quibble refund if not completely satisfied.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 97,57
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 97,57
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: BennettBooksLtd, North Las Vegas, NV, Estados Unidos de America
EUR 86,37
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Añadir al carritohardcover. Condición: New. In shrink wrap. Looks like an interesting title!
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 101,48
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Añadir al carritoHardcover. Condición: Like New. LIKE NEW. book.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 166,22
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 166,22
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Publicado por Springer New York, Springer New York, 2011
ISBN 10: 1461287367 ISBN 13: 9781461287360
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 164,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is a short, say 1 ms, spike, localized in space and time. Spatial as well as temporal correlations of activity may represent different states of a network. In particular, temporal correlations of activity may express that neurons process the same 'object' of, for example, a visual scene by spiking at the very same time. The traditional description of a neural network through a firing rate, the famous S-shaped curve, presupposes a wide time window of, say, at least 100 ms. It thus fails to exploit the capacity to 'bind' sets of coherently firing neurons for the purpose of both scene segmentation and figure-ground segregation. Feedback is a dominant feature of the structural organization of the brain. Recurrent neural networks have been studied extensively in the physical literature, starting with the ground breaking work of John Hop field (1982).
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 168,73
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is a short, say 1 ms, spike, localized in space and time. Spatial as well as temporal correlations of activity may represent different states of a network. In particular, temporal correlations of activity may express that neurons process the same 'object' of, for example, a visual scene by spiking at the very same time. The traditional description of a neural network through a firing rate, the famous S-shaped curve, presupposes a wide time window of, say, at least 100 ms. It thus fails to exploit the capacity to 'bind' sets of coherently firing neurons for the purpose of both scene segmentation and figure-ground segregation. Feedback is a dominant feature of the structural organization of the brain. Recurrent neural networks have been studied extensively in the physical literature, starting with the ground breaking work of John Hop field (1982).
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 156,13
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 156,53
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Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 230,74
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Añadir al carritoPaperback. Condición: Brand New. 364 pages. 9.00x6.10x0.80 inches. In Stock.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 235,20
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Añadir al carritoPaperback. Condición: Like New. Like New. book.