Michael W. Tangermann

Cognitive Neuroscience · 2004–2015

A researcher in the Science corpus: 11 papers; trusts 34 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Michael W. Tangermann trusts overall

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

  1. Benjamin Blankertz
  2. K. Müller
  3. Jonathan R. Wolpaw
  4. Herbert Ramoser
  5. Steven Lemm
  6. Matthias Krauledat
  7. Guido Dornhege
  8. Kai Keng Ang
  9. Olivier Ledoit
  10. Dennis J. McFarland

Who trusts Michael W. Tangermann overall

  1. Fabien Lotte
  2. Irene Winkler
  3. Benjamin Blankertz
  4. Niels Birbaumer
  5. Tijl Grootswagers
  6. L. J. Gabard-Durnam
  7. Cuntai Guan
  8. Carmen Vidaurre
  9. Kai Keng Ang
  10. Siavash Sakhavi

Papers from Michael W. Tangermann's perspective

Ordered by how strongly the researchers Michael W. Tangermann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
  2. Neural Networks for Pattern Recognition
  3. Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
  4. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  5. Optimizing Spatial filters for Robust EEG Single-Trial Analysis
  6. BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm (IEEE Transactions on Biomedical Engineering)
  7. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
  8. BCI2000: a general-purpose brain-computer interface (BCI) system (IEEE Transactions on Biomedical Engineering)
  9. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (Brain research. Cognitive brain research)
  10. The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects (NeuroImage)

Their papers