Christian Herff und Bci - Info zur Person

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NCAN Staff Honored in BCI Research Award Bookwww.neurotechcenter.org › news › schalk-lab › nca...

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Christian Herff, Dominic Heger, Adriana de Pesters,Dominic Telaar, Peter Brunner, Gerwin Schalk, Tanja Schultz. The work presented in these chapters ...

Machine Learning for BCI | bcisociety.org

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— Presented by Christian Herff, Maastricht University. Recorded brain activity displays complex non-linear dynamics and is highly participant ... › event › mac...

Christian Herff - Looploop.frontiersin.org › people › overview

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Christian Herff is an assistant professor in the School for Mental Health and Neuroscience at Maastricht University where he leads the invasive BCI research ...

Elections | bcisociety.orgbcisociety.org › about › elections

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Christian Herff, PhD. Maastricht University, the Netherlands. Dr. Christian Herff is an assistant professor in the School for Mental Health and Neuroscience at ...

Brain-Computer Interface Research: A State-of-the-Art Summary

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Towards Continuous Speech Recognition for BCI Christian Herff, Adriana de Pesters, Dominic Heger, Peter Brunner, Gerwin Schalk and Tanja Schultz Abstract For the last two decades, brain-computer interface (BCI) research has worked towards practical and useful applications for communication and control. Yet, many ...

Trends in Neuroergonomics: A Comprehensive Overview - Google Books

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... Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCIApplications Alexander von Lühmann, Christian Herff, Dominic Heger ...

Brain-Computer Interface Research | SpringerLink

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Chapter. Pages Towards Continuous Speech Recognition for BCI · Christian Herff, Adriana de Pesters, Dominic Heger, Peter Brunner, Gerwin Schalk…

Christian Herff (C.E.) - Maastricht University

www.maastrichtuniversity.nl

Dr. Christian Herff is an assistant professor in the School for Mental Health and Neuroscience at Maastricht University where he leads the invasive BCI research line. His research interest lays in the application of machine learning technology to neurophysiological data for Brain-Computer Interfaces and neuroscience research. With a particular focus on the decoding of speech processes from ...