Decoding cognitive brain states

Anne K. Porbadnigk, Matthias S. Treder, Siamac Fazli, Michael Tangermann, Carmen Vidaurre, Stefan Haufe, Gabriel Curio, Benjamin Blankertz, Klaus Robert Müller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The last years have seen a rise in interest in using BCI methodology for investigating non-medical questions beyond the purpose of communication and control. This abstract first provides a short introduction to BCI challenges from a machine learning perspective. The remaining sections present selected applications of BCI discussing in particular the use of EEG in combination with BCI methods for investigating how signal quality is processed on a sensory and cognitive level.

Original languageEnglish
Title of host publication2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages16-18
Number of pages3
DOIs
Publication statusPublished - 2013
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 2013 Feb 182013 Feb 20

Publication series

Name2013 International Winter Workshop on Brain-Computer Interface, BCI 2013

Other

Other2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
CountryKorea, Republic of
CityGangwon Province
Period13/2/1813/2/20

Keywords

  • Applied Cognitive Neuroscience
  • Brain Computer Interfaces
  • Machine Learning

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Porbadnigk, A. K., Treder, M. S., Fazli, S., Tangermann, M., Vidaurre, C., Haufe, S., Curio, G., Blankertz, B., & Müller, K. R. (2013). Decoding cognitive brain states. In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 16-18). [6506613] (2013 International Winter Workshop on Brain-Computer Interface, BCI 2013). https://doi.org/10.1109/IWW-BCI.2013.6506613