K.-R. Muller

Cognitive Neuroscience · 2008

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom K.-R. Muller trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David Ruppert
  2. K. Müller
  3. Benjamin Blankertz
  4. Gabriel Curio
  5. Gert Pfurtscheller
  6. Jonathan R. Wolpaw
  7. Dennis J. McFarland
  8. Guido Dornhege

Who trusts K.-R. Muller overall

  1. Fabien Lotte
  2. Benjamin Blankertz
  3. Carmen Vidaurre

Papers from K.-R. Muller's perspective

Ordered by how strongly the researchers K.-R. Muller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  2. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (Brain research. Cognitive brain research)
  3. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. (Proceedings of the National Academy of Sciences of the United States of America)
  4. Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
  5. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (IEEE Transactions on Biomedical Engineering)
  6. Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). (IEEE transactions on rehabilitation engineering)
  7. Event-related dynamics of cortical rhythms: frequency-specific features and functional correlates. (International Journal of Psychophysiology)
  8. Towards adaptive classification for BCI (Journal of Neural Engineering)
  9. Spatio-spectral filters for improving the classification of single trial EEG (IEEE Transactions on Biomedical Engineering)
  10. The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects (NeuroImage)

Their papers