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  • © 2019

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

Authors:

  • Nominated as an excellent doctoral dissertation by the University of Chinese Academy of Sciences
  • Reports, for the first time as a PhD thesis, on essential synaptic plasticity emulations and neuromorphic computing applications realized with the aid of three-terminal synaptic devices
  • Introduces readers to the design, fabrication, characterization and modeling of synaptic devices
  • Demonstrates the potential applications of synaptic devices in neuromorphic systems

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xxi
  2. Introduction

    • Changjin Wan
    Pages 1-32
  3. Conclusion and Perspective

    • Changjin Wan
    Pages 99-101
  4. Back Matter

    Pages 103-107

About this book

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. 


Authors and Affiliations

  • School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Changjin Wan

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access