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Guide to Brain-Computer Music Interfacing

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Cover of 'Guide to Brain-Computer Music Interfacing'

Table of Contents

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    Book Overview
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    Chapter 1 Brain–Computer Music Interfacing: Interdisciplinary Research at the Crossroads of Music, Science and Biomedical Engineering
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    Chapter 2 Electroencephalogram-based Brain–Computer Interface: An Introduction
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    Chapter 3 Contemporary Approaches to Music BCI Using P300 Event Related Potentials
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    Chapter 4 Prospective View on Sound Synthesis BCI Control in Light of Two Paradigms of Cognitive Neuroscience
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    Chapter 5 Machine Learning to Identify Neural Correlates of Music and Emotions
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    Chapter 6 Emotional Responses During Music Listening
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    Chapter 7 A Tutorial on EEG Signal-processing Techniques for Mental-state Recognition in Brain–Computer Interfaces
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    Chapter 8 An Introduction to EEG Source Analysis with an Illustration of a Study on Error-Related Potentials
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    Chapter 9 Feature Extraction and Classification of EEG Signals. The Use of a Genetic Algorithm for an Application on Alertness Prediction
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    Chapter 10 On Mapping EEG Information into Music
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    Chapter 11 Retroaction Between Music and Physiology: An Approach from the Point of View of Emotions
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    Chapter 12 Creative Music Neurotechnology with Symphony of Minds Listening
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    Chapter 13 Passive Brain–Computer Interfaces
Attention for Chapter 11: Retroaction Between Music and Physiology: An Approach from the Point of View of Emotions
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Chapter title
Retroaction Between Music and Physiology: An Approach from the Point of View of Emotions
Chapter number 11
Book title
Guide to Brain-Computer Music Interfacing
Published by
Springer London, October 2014
DOI 10.1007/978-1-4471-6584-2_11
Book ISBNs
978-1-4471-6583-5, 978-1-4471-6584-2
Authors

Pierre-Henri Vulliard, Joseph Larralde, Myriam Desainte-Catherine

Editors

Eduardo Reck Miranda, Julien Castet

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X Demographics

The data shown below were collected from the profile of 1 X user 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 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 %
Professor > Associate Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Engineering 2 100%

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