Guide to Brain-Computer Music Interfacing

Chapter 1 Brain–Computer Music Interfacing: Interdisciplinary Research at the Crossroads of Music, Science and Biomedical Engineering

Chapter 2 Electroencephalogram-based Brain–Computer Interface: An Introduction

Chapter 3 Contemporary Approaches to Music BCI Using P300 Event Related Potentials

Chapter 4 Prospective View on Sound Synthesis BCI Control in Light of Two Paradigms of Cognitive Neuroscience

Chapter 5 Machine Learning to Identify Neural Correlates of Music and Emotions

Chapter 6 Emotional Responses During Music Listening

Chapter 7 A Tutorial on EEG Signal-processing Techniques for Mental-state Recognition in Brain–Computer Interfaces

Chapter 8 An Introduction to EEG Source Analysis with an Illustration of a Study on Error-Related Potentials

Chapter 9 Feature Extraction and Classification of EEG Signals. The Use of a Genetic Algorithm for an Application on Alertness Prediction

Chapter 10 On Mapping EEG Information into Music

Chapter 11 Retroaction Between Music and Physiology: An Approach from the Point of View of Emotions

Chapter 13 Passive Brain–Computer Interfaces