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

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

Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies
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Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies Hardback - 2019

by Wan, Changjin (Author)

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Description

Springer, 2019. Hardcover. New. 132 pages. 9.25x6.10x0.71 inches.
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Ships from Revaluation Books (Devon, United Kingdom)

Details

  • Title Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies
  • Author Wan, Changjin (Author)
  • Binding Hardback
  • Condition New
  • Pages 107
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2019
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # x-9811333130
  • ISBN 9789811333132 / 9811333130
  • Weight 0.8 lbs (0.36 kg)
  • Dimensions 9.21 x 6.14 x 0.38 in (23.39 x 15.60 x 0.97 cm)
  • Dewey Decimal Code 530.41
  • Quantity available 2

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Reader reviews for Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies

From the rear cover

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.

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