9783319856254 - neuromorphic cognitive systems: a learning and memory centered approach: 126 di yu, qiang; tang, huajin; hu, jun; tan chen, kay (11 risultati)

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
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Lingua: Inglese
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Lingua: Inglese
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Taschenbuch. Condizione: Neu. Neuromorphic Cognitive Systems | A Learning and Memory Centered Approach | Qiang Yu (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xiv | Englisch | 2018 | Springer | EAN 9783319856254 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, jue…rgen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It… is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed.The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Paperback. Condizione: Brand New. reprint edition. 172 pages. 9.25x6.10x0.55 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer International Publishing, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses the computational principles underlying spike-based information processing and cognitive computation with a specific focus on learning and memoryDescribes theoretical modeling and analysis as well as practi…cal applicationsPresents.

Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Mai 2018, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cog…nitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed.The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail. 188 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
Editore: Springer, Springer Mai 2018, 2018
Serie: Libro 101 di 188 - Intelligent Systems Reference Library
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cogniti…ve tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.