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

Guo, Liang

Rilegato

ISBN 10: 303077676X ISBN 13: 9783030776763

Casa editrice: Springer Nature, 2021

Riassunto

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.  

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

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.  

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 303077676X
• ISBN 13: 9783030776763
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 192
• Contatto del produttore: non disponibile
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