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 contributionpeer-review

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
Externally publishedYes
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 18 Feb 201320 Feb 2013

Publication series

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

Conference

Conference2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Country/TerritoryKorea, Republic of
CityGangwon Province
Period18/02/1320/02/13

Keywords

  • Applied Cognitive Neuroscience
  • Brain Computer Interfaces
  • Machine Learning

Fingerprint

Dive into the research topics of 'Decoding cognitive brain states'. Together they form a unique fingerprint.

Cite this