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Brain-Computer Interface Research

Overview of attention for book
Cover of 'Brain-Computer Interface Research'

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 4
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    Chapter 2 Real-Time Mapping of Natural Speech in Children with Drug-Resistant Epilepsy
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    Chapter 3 Brain-Computer Interfaces for Communication and Rehabilitation Using Intracortical Neuronal Activity from the Prefrontal Cortex and Basal Ganglia in Humans
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    Chapter 4 Towards an Auditory Attention BCI
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    Chapter 5 Neurofeedback Training with a Motor Imagery-Based BCI Improves Neurocognitive Functions in Elderly People
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    Chapter 6 Airborne Ultrasonic Tactile Display BCI
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    Chapter 7 Heterogeneous BCI-Triggered Functional Electrical Stimulation Intervention for the Upper-Limb Rehabiliation of Stroke Patients
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    Chapter 8 ALS Population Assessment of a Dynamic Stopping Algorithm Implementation for P300 Spellers
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    Chapter 9 Semi-autonomous Hybrid Brain-Machine Interface
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    Chapter 10 Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings
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    Chapter 11 The Changing Brain: Bidirectional Learning Between Algorithm and User
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    Chapter 12 Recent Advances in Brain-Computer Interface Research—A Summary of the BCI Award 2014 and BCI Research Trends
Attention for Chapter 5: Neurofeedback Training with a Motor Imagery-Based BCI Improves Neurocognitive Functions in Elderly People
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Citations

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Chapter title
Neurofeedback Training with a Motor Imagery-Based BCI Improves Neurocognitive Functions in Elderly People
Chapter number 5
Book title
Brain-Computer Interface Research
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-25190-5_5
Book ISBNs
978-3-31-925188-2, 978-3-31-925190-5
Authors

J. Gomez-Pilar, R. Corralejo, D. Álvarez, R. Hornero

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Doctoral Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Neuroscience 2 67%
Computer Science 1 33%
Engineering 1 33%

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