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Electric-double-layer coupled oxide-based neuromorphic transistors studies

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Electric-double-layer coupled oxide-based neuromorphic transistors studiesby Changjin Wan.
作者:	Wan, Changjin.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	xxi, 107 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Neuromorphics.
電子資源:	https://doi.org/10.1007/978-981-13-3314-9
ISBN:	9789811333149$q(electronic bk.)

Electric-double-layer coupled oxide-based neuromorphic transistors studies
Wan, Changjin.

Electric-double-layer coupled oxide-based neuromorphic transistors studies[electronic resource] /by Changjin Wan. - Singapore :Springer Singapore :2019. - xxi, 107 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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.

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.

ISBN: 9789811333149$q(electronic bk.)

Standard No.: 10.1007/978-981-13-3314-9doiSubjects--Topical Terms:

722871
Neuromorphics.

LC Class. No.: TA164.4 / .W363 2019

Dewey Class. No.: 660.63

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