Neural Interface Engineering

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Details

Provides comprehensive coverage of all major neural interfacing technologies

Reviews and discusses both classic and latest, emerging topics

Includes classification of technologies to provide an easy grasp of research and trends in the field


Provides comprehensive coverage of major neural interfacing technologies Reviews and discusses both classic and latest, emerging topics Includes classification of technologies to provide an easy grasp of research and trends in the field

Autorentext

Liang Guo received the B.E. degree in biomedical engineering from Tsinghua University, Beijing in 2004 and the Ph.D. degree in bioengineering from Georgia Institute of Technology, Atlanta, GA in 2011. His Ph.D. research with Professor Stephen P. DeWeerth focused on the development of high-density stretchable microelectrode arrays for neural and muscular surface interfacing. He worked with Professors Robert S. Langer and Daniel G. Anderson at Massachusetts Institute of Technology, Cambridge, MA as a postdoctoral associate on neural tissue engineering and regenerative medicine. He started as an assistant professor of Electrical and Computer Engineering and Neuroscience in September 2013 at The Ohio State University. His primary research interests are in neural interface engineering and biocircuit engineering as applied to neuroscience and neural prosthetics. Among other honors, he was awarded the Defense Advanced Research Projects Agency (DARPA) Young Faculty Award in 2017, the National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award in 2018, and the OSU College of Engineering Lumley Research Award in 2018.



Inhalt
Introduction: The need of a neural interface.- Excitable membrane, ion channels and neural signals.- Principles of neural recording.- Principles of neural stimulation.- Planar cell culture microelectrode arrays.- 3-D cell culture microelectrode arrays.- Intracortical electrodes.- Peripheral neural electrodes.- Failure modes of neural electrodes.- Strategies to improve neural electrode performances.- Flexible neural electrodes.- Stretchable neural electrodes.- Electrocorticography electrodes.- Retinal Implants.- Regenerative neural electrodes.- Nano neural electrodes.- Passive RF neural electrodes.- Ultrasonic neural dust.- Transcutaneous electrical recording and stimulation.- Functional magnetic resonance imaging.- Ultrasonic stimulation.- Transcranial magnetic stimulation.- Fluorescent imaging of neural activities.- Localized surface plasmon resonance-based neural sensing.- Optical stimulation.- Acoustic stimulation.- Magnetic stimulation.- Voltage-sensitive fluorescent proteins for neural sensing.- Optogenetics.- Sonogenetics.- Magnetothermogentics.- Conclusions. <p

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030418564
    • Lesemotiv Verstehen
    • Genre Electrical Engineering
    • Auflage 1st edition 2020
    • Editor Liang Guo
    • Sprache Englisch
    • Anzahl Seiten 448
    • Herausgeber Springer International Publishing
    • Größe H235mm x B155mm x T25mm
    • Jahr 2021
    • EAN 9783030418564
    • Format Kartonierter Einband
    • ISBN 3030418561
    • Veröffentlichung 05.05.2021
    • Titel Neural Interface Engineering
    • Untertitel Linking the Physical World and the Nervous System
    • Gewicht 674g

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