Guide to Brain-Computer Music Interfacing

• Corporate Author: SpringerLink (Online service)
• Other Authors: Miranda, Eduardo Reck (Editor), Castet, Julien (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2014.
• Subjects: Computer science.; Music.; Neurosciences.; User interfaces (Computer systems).; Biomedical engineering.; Computer Science.; User Interfaces and Human Computer Interaction.; Biomedical Engineering.

The emergence of more affordable EEG equipment is fostering a renaissance of approaches to making music with brain signals. This Guide to Brain-Computer Music Interfacing (BCMI) presents a world-class collection of BCMI tools with which adventurous explorers may pursue practical and propositional mo...

Table of Contents:

• Brain-Computer Music Interfacing
• Electroencephalogram-Based Brain-Computer Interface
• Contemporary Approaches to BCMI Using P300 Event Related Potentials
• Prospective View on Sound Synthesis BCI Control in Light of Two Paradigms of Cognitive Neuroscience
• Machine Learning to Identify Neural Correlates of Music and Emotions
• Emotional Responses During Music Listening
• A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces
• An Introduction to EEG Source Analysis with an Illustration of a Study on Error-Related Potentials
• Feature Extraction and Classification of EEG Signals
• On Mapping EEG Information into Music
• Retroaction Between Music and Physiology
• Creative Music Neurotechnology with Symphony of Minds Listening
• Passive Brain-Computer Interfaces.