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Principles of Electrical Neural Interfacing: A Quantitative Approach to Cellular Recording and Stimulation

ISBN-13: 9783030776763 / Angielski / Twarda / 2021 / 250 str.

Liang Guo
Principles of Electrical Neural Interfacing: A Quantitative Approach to Cellular Recording and Stimulation Liang Guo 9783030776763 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Principles of Electrical Neural Interfacing: A Quantitative Approach to Cellular Recording and Stimulation

ISBN-13: 9783030776763 / Angielski / Twarda / 2021 / 250 str.

Liang Guo
cena 322,01
(netto: 306,68 VAT:  5%)

Najniższa cena z 30 dni: 308,41
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!
inne wydania
Kategorie:
Nauka, Medycyna
Kategorie BISAC:
Technology & Engineering > Biomedical
Technology & Engineering > Electronics - Circuits - General
Technology & Engineering > Nanotechnology & MEMS
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783030776763
Rok wydania:
2021
Wydanie:
2022
Ilość stron:
250
Waga:
0.45 kg
Wymiary:
23.39 x 15.6 x 1.27
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Introduction.- Equivalent Circuit Models of Neurons.- Recording Electrodes.- Stimulating Electrodes.- Intracellular Recording.- Extracellular Recording.- Extracellular Recording of Propagating Action Potentials.- Recording using Field-Effect Transistors.- Neural Recording using Nanoprotrusion Electrodes.- Recording using Tetrodes.- Intracortical Functional Neural Mapping Using an Integrated 3D Ultra-Density MEA.- Neuronal Stimulation.- Electrical Stimulation to Promote Neuronal Growth.- Applications.

Dr. Liang Guo is an assistant professor in the Department of Electrical and Computer Engineering at The Ohio State University, Columbus, Ohio, USA. He 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. Subsequently, he worked as a postdoctoral associate in the Langer Lab at Massachusetts Institute of Technology, Cambridge, MA. He started as an assistant professor of Electrical and Computer Engineering and Neuroscience in September 2013 at The Ohio State University. He has dived into the neuroengineering field since his sophomore year in college and has been passionate to adhere to this field through his Ph.D. and postdoc trainings. His primary research interests are in neural interface engineering and biocircuit engineering as applied to neuroscience and neural prosthetics. He has published over 30 journal papers and obtained five patents. Earlier, he had edited a Springer book Neural Interface Engineering: Linking the Physical World and the Nervous System. 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.

This textbook fills a gap to supply students with the fundamental principles and tools they need to perform the quantitative analyses of the neuroelectrophysiological approaches, including both conventional and emerging ones, prevalently used in neuroscience research and neuroprosthetics. The content grows out of a course on Neuroengineering and Neuroprosthetics, which the author has taught already several times. The key problems the author addresses include (1) the universal operating mechanisms of neuroelectrophysiological approaches, (2) proper configuration of each approach, and (3) proper interpretation of the resulting signals. Efforts are made both to extract the universal principles underlying this common class of approaches and discern the unique properties of each individual approach. To address these important problems, equivalent electrical circuit modeling and signal analysis are used to unravel the functioning mechanisms and principles and provide sound interpretations to the associated signals and phenomena. This book aims to derive analytical solutions to these equivalent circuits, which can offer clear and complete mechanistic insights to the underlying biophysics.  



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