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Neuromorphic Devices for Brain-inspired Computing. Artificial Intelligence, Perception, and Robotics. Edition No. 1

  • Book

  • 256 Pages
  • January 2022
  • John Wiley and Sons Ltd
  • ID: 5839138
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

Authors

Qing Wan Nanjing University, China. Yi Shi Nanjing University, China.