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 tomorrow for delivery by Wed 10 Jun 2026.

    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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