Bernhard Graimann

Cognitive Neuroscience · 2002–2014

A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Bernhard Graimann trusts overall

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

  1. Jonathan R. Wolpaw
  2. Brendan Z. Allison
  3. Eric W. Sellers
  4. Steven G. Mason
  5. Gert Pfurtscheller
  6. Benjamin Blankertz
  7. Gernot R. Müller-Putz
  8. Christoph Guger
  9. Emanuel Donchin
  10. Niels Birbaumer

Who trusts Bernhard Graimann overall

  1. Christa Neuper
  2. Gert Pfurtscheller
  3. Sarah N. Abdulkader
  4. Clemens Brunner
  5. Natasha M. J. Padfield
  6. Muhammad Naeem
  7. Per B. Sederberg
  8. Fabien Lotte
  9. Reinhold Scherer
  10. Ayman Atia

Papers from Bernhard Graimann's perspective

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

  1. A P300-based brain-computer interface: initial tests by ALS patients. (Clinical Neurophysiology)
  2. Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
  3. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (Brain research. Cognitive brain research)
  4. How many people are able to control a P300-based brain-computer interface (BCI)? (Neuroscience Letters)
  5. A brain-controlled switch for asynchronous control applications (IEEE Transactions on Biomedical Engineering)
  6. How many people are able to operate an EEG-based brain-computer interface (BCI)? (IEEE transactions on neural systems and rehabilitation engineering)
  7. Towards an independent brain-computer interface using steady state visual evoked potentials. (Clinical Neurophysiology)
  8. Cortical control of a prosthetic arm for self-feeding (Nature)
  9. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (IEEE Transactions on Biomedical Engineering)
  10. Toward a hybrid brain–computer interface based on imagined movement and visual attention (Journal of Neural Engineering)

Their papers