The estimation of cortical activity for brain-computer interface: applications in a domotic context
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Editorial: brain-computer interfaces towards practical implementations and potential applications
Computational Intelligence and Neuroscience - Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications
A local neural classifier for the recognition of EEG patterns associated to mental tasks
IEEE Transactions on Neural Networks
Detection of Structural Features in Biological Signals
Journal of Signal Processing Systems
Investigating the use of brain-computer interaction to facilitate creativity
AH '12 Proceedings of the 3rd Augmented Human International Conference
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We discuss the BCI based on inner tones and inner music. We had some success in the detection of inner tones, the imagined tones which are not sung aloud. Rather easily imagined and controlled, they offer a set of states usable for BCI, with high information capacity and high transfer rates. Imagination of sounds or musical tunes could provide a multicommand language for BCI, as if using the natural language. Moreover, this approach could be used to test musical abilities. Such BCI interface could be superior when there is a need for a broader command language. Some computational estimates and unresolved difficulties are presented.