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Brain-Computer Interface Research

Overview of attention for book
Brain-Computer Interface Research
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Brain-Computer Interface Research: A State-of-the-Art Summary 7
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    Chapter 2 Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promising Functional Mapping Modality
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    Chapter 3 Online Adaptive Synchronous BCI System with Attention Variations
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    Chapter 4 Using a BCI Prosthetic Hand to Control Phantom Limb Pain
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    Chapter 5 Restoration of Finger and Arm Movements Using Hybrid Brain/Neural Assistive Technology in Everyday Life Environments
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    Chapter 6 Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance
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    Chapter 7 Targeted Up-Conditioning of Contralesional Corticospinal Pathways Promotes Motor Recovery in Poststroke Patients with Severe Chronic Hemiplegia
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    Chapter 8 Individual Word Classification During Imagined Speech Using Intracranial Recordings
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    Chapter 9 High Performance BCI in Controlling an Avatar Using the Missing Hand Representation in Long Term Amputees
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    Chapter 10 Can BCI Paradigms Induce Feelings of Agency and Responsibility Over Movements?
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    Chapter 11 Recent Advances in Brain-Computer Interface Research—A Summary of the 2017 BCI Award and BCI Research Trends
Attention for Chapter 7: Targeted Up-Conditioning of Contralesional Corticospinal Pathways Promotes Motor Recovery in Poststroke Patients with Severe Chronic Hemiplegia
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Chapter title
Targeted Up-Conditioning of Contralesional Corticospinal Pathways Promotes Motor Recovery in Poststroke Patients with Severe Chronic Hemiplegia
Chapter number 7
Book title
Brain-Computer Interface Research
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-05668-1_7
Book ISBNs
978-3-03-005667-4, 978-3-03-005668-1
Authors

K. Takasaki, F. Liu, M. Ogura, K. Okuyama, M. Kawakami, K. Mizuno, S. Kasuga, T. Noda, J. Morimoto, M. Liu, J. Ushiba, Takasaki, K., Liu, F., Ogura, M., Okuyama, K., Kawakami, M., Mizuno, K., Kasuga, S., Noda, T., Morimoto, J., Liu, M., Ushiba, J.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Neuroscience 1 50%
Engineering 1 50%

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