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Neuromorphic Computing and Beyond: Parallel, Approximation, Near Memory, and Quantum, Mohamed Khaled Salah


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Автор: Mohamed Khaled Salah
Название:  Neuromorphic Computing and Beyond: Parallel, Approximation, Near Memory, and Quantum
ISBN: 9783030372231
Издательство: Springer
Классификация:



ISBN-10: 3030372235
Обложка/Формат: Hardcover
Страницы: 233
Вес: 0.53 кг.
Дата издания: 26.01.2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 136 tables, color; 148 illustrations, color; 31 illustrations, black and white; xiv, 233 p. 179 illus., 148 illus. in color.
Размер: 23.39 x 15.60 x 1.60 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Parallel, approximation, near memory, and quantum
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book discusses and compares several new trends that can be used to overcome Moore`s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing.


Event?€“Based Neuromorphic Systems

Автор: Shih?€“Chii Liu,Tobi Delbruck,Giacomo Indiveri,Adr
Название: Event?€“Based Neuromorphic Systems
ISBN: 0470018496 ISBN-13(EAN): 9780470018491
Издательство: Wiley
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Цена: 13456.00 р.
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Описание: Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain`s efficient data-driven communication design, which is key to its quick responses and remarkable capabilities.

Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies

Автор: Changjin Wan
Название: Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies
ISBN: 9811333130 ISBN-13(EAN): 9789811333132
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book focuses on essential synaptic plasticity emulations and neuromorphic computing applications realized with the aid of three-terminal synaptic devices based on ion-coupled oxide-based electric-double-layer (EDL) transistors. To replicate the robust, plastic and fault-tolerant computational power of the human brain, the emulation of essential synaptic plasticity and computation of neurons/synapse by electronic devices are generally considered to be key steps. The book shows that the formation of an EDL at the dielectric/channel interface that slightly lags behind the stimuli can be attributed to the electrostatic coupling between ions and electrons; this mechanism underlies the emulation of short-term synaptic behaviors. Furthermore, it demonstrates that electrochemical doping/dedoping processes in the semiconducting channel by penetrated ions from electrolyte can be utilized for the emulation of long-term synaptic behaviors. Lastly, it applies these synaptic transistors in an artificial visual system to demonstrate the potential for constructing neuromorphic systems. Accordingly, the book offers a unique resource on understanding the brain-machine interface, brain-like chips, artificial cognitive systems, etc.

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Автор: Manan Suri
Название: Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
ISBN: 8132237013 ISBN-13(EAN): 9788132237013
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices.

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

Автор: Suri Manan
Название: Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
ISBN: 8132238907 ISBN-13(EAN): 9788132238904
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices.

Neuromorphic Systems Engineering

Автор: Tor Sverre Lande
Название: Neuromorphic Systems Engineering
ISBN: 1475782985 ISBN-13(EAN): 9781475782981
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include:

  • large scale analog systems in silicon
  • neuromorphic silicon
  • auditory (ear) and vision (eye) systems in silicon
  • learning and adaptation in silicon
  • merging biology and technology
  • micropower analog circuit design
  • analog memory
  • analog interchipcommunication on digital buses /LIST
    Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.

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