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Neural Engineering

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Cover of 'Neural Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Neurophysiology
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    Chapter 2 Biopotential Measurements and Electrodes
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    Chapter 3 EEG Signal Processing: Theory and Applications
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    Chapter 4 Brain–Computer Interfaces
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    Chapter 5 Intracortical Brain–Machine Interfaces
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    Chapter 6 Deep Brain Stimulation: Emerging Technologies and Applications
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    Chapter 7 Transcranial Magnetic Stimulation: Principles and Applications
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    Chapter 8 Transcranial Electrical Stimulation
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    Chapter 9 Optogenetics: Novel Brain Interface Technology That Originates in Bioprospecting
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    Chapter 10 Selective Chronic Recording in the Peripheral Nervous System
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    Chapter 11 Functional Magnetic Resonance Imaging
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    Chapter 12 Photoacoustic Tomography of Neural Systems
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    Chapter 13 Electrophysiological Mapping and Source Imaging
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    Chapter 14 Exploring Functional and Causal Connectivity in the Brain
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    Chapter 15 Deep Learning Models with Applications to Brain Image Analysis
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    Chapter 16 Neural Modeling
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    Chapter 17 Linear Dynamics and Control of Brain Networks
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    Chapter 18 Deciphering the Neuronal Population Code
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    Chapter 19 Machine Intelligence-Based Epileptic Seizure Forecasting
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    Chapter 20 Retinal Prosthesis
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    Chapter 21 Retinal Bioengineering
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    Chapter 22 Neural Tissue Engineering
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Title
Neural Engineering
Published by
Springer International Publishing, July 2020
DOI 10.1007/978-3-030-43395-6
ISBNs
978-3-03-043394-9, 978-3-03-043395-6
Editors

He, Bin

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Ph. D. Student 5 14%
Other 1 3%
Lecturer 1 3%
Professor 1 3%
Other 3 8%
Unknown 18 50%
Readers by discipline Count As %
Engineering 10 28%
Computer Science 2 6%
Business, Management and Accounting 1 3%
Agricultural and Biological Sciences 1 3%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 18 50%