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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
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