Neural Engineering

Inbunden, Engelska, 2020

2 359 kr

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Bin He’s edited volume provides chapters that cover both the fundamentals and state-of-the-art developments by the world’s leading neural engineers."Dr. Paul Sajda, Department of Biomedical Engineering, Electrical Engineering and Radiology, Columbia University“Neural Engineering, edited by Prof.

Produktinformation

Utgivningsdatum2020-09-22
Mått178 x 254 x 44 mm
Vikt1 528 g
FormatInbunden
SpråkEngelska
Antal sidor699
Upplaga3
FörlagSpringer Nature Switzerland AG
ISBN9783030433949

Tillhör följande kategorier

Tillämpad fysik inom Naturvetenskap och teknik
Biomedicinsk teknik inom Medicin
Biovetenskap inom Naturvetenskap och teknik
Medicinsk bildbehandling inom Medicin
Neurologi och klinisk neurofysiologi inom Medicin

Bin He, PhD., is a pioneer and leader in the field of neural engineering. An internationally recognized scientist with significant contributions to neural interfacing, neuroimaging, and neuromodulation, Dr. He has been recognized by prestigious awards including IEEE Biomedical Engineering Award, IEEE EMBS William J Morlock Award, and IEEE EMBS Academic Career Achievement Award. Dr. He has served as the President of the IEEE Engineering in Medicine & Biology Society (EMBS), Chair of International Academy of Medical and Biological Engineering (IAMBE), the Editor-in-Chief of IEEE Transactions on Biomedical Engineering, and been on numerous journal editorial boards. Dr. He is currently Trustee Professor and Head of the Department of Biomedical Engineering, and Professor of Neuroscience Institute at Carnegie Mellon University. He is an elected Fellow of AIMBE, BMES, IAMBE and IEEE.

Introduction to Neurophysiology.- Biopotential Measurements and Electrodes.- EEG Signal Processing: Theory and Applications.- Brain-Computer Interfaces.- Intracortical Brain Machine Interfaces.- Deep Brain Stimulation: Emerging Technologies and Applications.- Transcranial Magnetic Stimulation: Principles and Applications.- Transcranial Electrical Stimulation.- Optogenetics: Novel Brain Interface Technology that Originates in Bioprospecting.- Selective Chronic Recording in the Peripheral Nervous System.- Functional Magnetic Resonance Imaging.- Photoacoustic Tomography of Neural Systems.- Electrophysiological Mapping and Source Imaging.- Exploring Functional and Causal Connectivity in the Brain.- Deep Learning Models with Applications to Brain Image Analysis.- Neural Modeling.- Linear Dynamics & Control of Brain Networks.- Deciphering the Neuronal Population Code.- Machine Intelligence BasedEpileptic Seizure Forecasting.- Retinal Prosthesis.- Retinal Bioengineering.- Neural Tissue Engineering.- Index.