Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 49,53
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 58,17
Anzahl: 4 verfügbar
In den WarenkorbZustand: New.
Zustand: New. Editor(s): Rao, Rajesh P. N.; Olshausen, Bruno A.; Lewicki, Michael S. Series: Neural Information Processing Series. Num Pages: 334 pages. BIC Classification: MJN. Category: (P) Professional & Vocational. Dimension: 254 x 203 x 25. Weight in Grams: 971. . 2002. paperback. . . . . Books ship from the US and Ireland.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 77,20
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 80,53
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: 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.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 100,77
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 210 pages. 6.14x0.48x9.21 inches. In Stock.
Anbieter: moluna, Greven, Deutschland
EUR 76,64
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Rajesh Kumar Tripathy received a B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009 and the M.Tech degree in Biomedical Engineering from the National Instit.
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good.
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 154,44
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. 2024. paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1032767650 ISBN 13: 9781032767659
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: - Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals - Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface - Highlights the latest machine learning and deep learning methods for neural signal processing - Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis - Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | 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).
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | 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).
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642175333 ISBN 13: 9783642175336
Anbieter: moluna, Greven, Deutschland
Zustand: New. The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010.The 146 regular session papers presented were carefully re.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 166,49
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 166,49
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2010
ISBN 10: 3642175333 ISBN 13: 9783642175336
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 162,41
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 739 pages. 9.00x6.00x1.25 inches. In Stock.
Zustand: Gut. Zustand: Gut | Seiten: 739 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 186,59
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 193,48
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Models of Neural Networks | Temporal Aspects of Coding and Information Processing in Biological Systems | Eytan Domany (u. a.) | Taschenbuch | xvi | Englisch | 2011 | Humana | EAN 9781461287360 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2011
ISBN 10: 3642175333 ISBN 13: 9783642175336
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010.The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.
Sprache: Englisch
Verlag: Springer New York, Springer US, 1995
ISBN 10: 0387943625 ISBN 13: 9780387943626
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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).
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Deutschland
Softcover. Zustand: gut. 2011. Neural Information Processing. Models and Applications In deutscher Sprache. pages.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 237,99
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 9.19x6.13x9.21 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 238,07
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 364 pages. 9.00x6.10x0.80 inches. In Stock.