Brain-Computer Interfaces 1
Methods and Perspectives
1. Edition July 2016
330 Pages, Hardcover
Wiley & Sons Ltd
Brain-computer interfaces (BCI) are devices which measure brain activity and translate it into messages or commands, thereby opening up many investigation and application possibilities. This book provides keys for understanding and designing these multi-disciplinary interfaces, which require many fields of expertise such as neuroscience, statistics, informatics and psychology.
This first volume, Methods and Perspectives, presents all the basic knowledge underlying the working principles of BCI. It opens with the anatomical and physiological organization of the brain, followed by the brain activity involved in BCI, and following with information extraction, which involves signal processing and machine learning methods. BCI usage is then described, from the angle of human learning and human-machine interfaces.
The basic notions developed in this reference book are intended to be accessible to all readers interested in BCI, whatever their background. More advanced material is also offered, for readers who want to expand their knowledge in disciplinary fields underlying BCI.
This first volume will be followed by a second volume, entitled Technology and Applications.
1. Anatomy of the Nervous System
Matthieu Kandel and Maude Tollet
2. Functional Neuroimaging
Christian Bénar
3. Cerebral Electrogenesis
Franck Vidal
4. Physiological Markers for Controlling Active and Reactive BCIs
François Cabestaing and Philippe Derambure
5. Neurophysiological Markers for Passive Brain-Computer Interfaces
Raphaëlle N. Roy and Jérémy Frey
Part 2. Signal Processing and Machine Learning
6. Electroencephalography Data Preprocessing
Maureen Clerc
7. EEG Feature Extraction
Fabien Lotte and Marco Congedo
8. Analysis of Extracellular Recordings
Christophe Pouzat
9. Statistical Learning for BCIs
Rémi Flamary, Alain Rakotomamonjy and Michèle Sebag
Part 3. Human Learning and Human-Machine Interaction
10. Adaptive Methods in Machine Learning
Maureen Clerc, Emmanuel Daucé and Jérémie Mattout
11. Human Learning for Brain-Computer Interfaces
Camille Jeunet, Fabien Lotte and Bernard N'Kaoua
12. Brain-Computer Interfaces for Human-Computer Interaction
Andéol Evain, Nicolas Roussel, Géry Casiez, Fernando Argelaguet-Sanz and Anatole Lécuyer
13. Brain Training with Neurofeedback
Lorraine Perronnet, Anatole Lécuyer, Fabien Lotte, Maureen Clerc and Christian Barillot
Laurent Bougrain is Assistant Professor at the University of Lorraine, France.
Fabien Lotte is Junior Researcher at Inria Bordeaux, France.
