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" Electric-double-layer coupled oxide-based neuromorphic transistors studies / "
Changjin Wan.
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BL
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| Record Number
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891383
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| Main Entry
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Wan, Changjin
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| Title & Author
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Electric-double-layer coupled oxide-based neuromorphic transistors studies /\ Changjin Wan.
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| Publication Statement
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Singapore :: Springer,, [2019]
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, ©2019
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| Series Statement
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Springer theses
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| Page. NO
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1 online resource :: color illustrations.
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| ISBN
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9789811333149
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: 9789811333156
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: 9811333149
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: 9811333157
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9789811333132
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9811333130
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| Notes
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"This doctoral thesis is accepted by the University of Chinese Academy of Sciences, Beijing, China."
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Introduction -- Fabrications and characterizations of oxide-based EDL transistors -- Synaptic emulations based on oxide-based EDL transistors -- Neuromorphic computing applications based on oxide-based EDL transistors -- Summary and prospect.
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| Abstract
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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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| Subject
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Neuromorphics.
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Transistors.
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Neuromorphics.
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SCIENCE / Chemistry / Industrial Technical.
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TECHNOLOGY ENGINEERING / Chemical Biochemical.
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Transistors.
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| Dewey Classification
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660.6/3
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| LC Classification
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TA164.4
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