Neurolinguistic and Machine-Learning Perspectives on Direct Speech Bcis for Restoration of Naturalistic Communication
Brain-Computer Interfaces ISSN: 2326-263X (Print) 2326-2621 (Online) Journal homepage: http://www.tandfonline.com/loi/tbci20 Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication Olga Iljina, Johanna Derix, Robin Tibor Schirrmeister, Andreas Schulze- Bonhage, Peter Auer, Ad Aertsen & Tonio Ball To cite this article: Olga Iljina, Johanna Derix, Robin Tibor Schirrmeister, Andreas Schulze- Bonhage, Peter Auer, Ad Aertsen & Tonio Ball (2017): Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication, Brain-Computer Interfaces, DOI: 10.1080/2326263X.2017.1330611 To link to this article: http://dx.doi.org/10.1080/2326263X.2017.1330611 © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group Published online: 21 Jun 2017. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tbci20 Download by: [93.230.60.226] Date: 22 June 2017, At: 15:41 BRAINCOMPUTER INTERFACES, 2017 https://doi.org/10.1080/2326263X.2017.1330611 OPEN ACCESS Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication Olga Iljinaa,b,c,e,g,h, Johanna Derixe,h, Robin Tibor Schirrmeistere,h, Andreas Schulze-Bonhaged,e, Peter Auera,b,c,f, Ad Aertseng,i and Tonio Balle,h aGRK 1624 ‘Frequency effects in language’, University of
[Show full text]