Description

Book Synopsis

Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence

In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications.

Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes:

  • A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms
  • Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors
  • Practical discussions of neuromorphic devices based on chalcogenide and organic materials
  • In-depth examinations of neuromorphic computing and perceptual systems with emerging devices

Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.



Table of Contents
1: Two-terminal Neuromorphic Memristors
2: Spintronic Neuromorphic Devices
3: Multi-terminal Neuromorphic Devices with Cognitive Behaviors
4: Neuromorphic Devices based on Chalcogenide materials
5: Neuromorphic Devices Based on Organic materials
6: Neuromorphic Computing Systems with Emerging Devices
7: Neuromorphic perceptual Systems with Emerging Devices

Neuromorphic Devices for Brain-inspired

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£102.81

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RRP £120.95 – you save £18.14 (14%)

Order before 4pm today for delivery by Wed 24 Dec 2025.

A Hardback by Qing Wan, Yi Shi

1 in stock


    View other formats and editions of Neuromorphic Devices for Brain-inspired by Qing Wan

    Publisher: Wiley-VCH Verlag GmbH
    Publication Date: 26/01/2022
    ISBN13: 9783527349791, 978-3527349791
    ISBN10: 3527349790

    Description

    Book Synopsis

    Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence

    In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications.

    Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes:

    • A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms
    • Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors
    • Practical discussions of neuromorphic devices based on chalcogenide and organic materials
    • In-depth examinations of neuromorphic computing and perceptual systems with emerging devices

    Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.



    Table of Contents
    1: Two-terminal Neuromorphic Memristors
    2: Spintronic Neuromorphic Devices
    3: Multi-terminal Neuromorphic Devices with Cognitive Behaviors
    4: Neuromorphic Devices based on Chalcogenide materials
    5: Neuromorphic Devices Based on Organic materials
    6: Neuromorphic Computing Systems with Emerging Devices
    7: Neuromorphic perceptual Systems with Emerging Devices

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