Guido Dornhege

Cognitive Neuroscience · 2004–2008

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 63 citations into it; #802 of 10,852 by trust here, #1,346 by citations
• Cellular and Molecular Neuroscience — 27 citations into it; #239 of 2,998 by trust here, #556 by citations
• Electrical and Electronic Engineering — 21 citations into it; #4,535 of 16,539 by trust here, #8,322 by citations
• Signal Processing — 14 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistical Learning Theory — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Guido Dornhege trusts overall

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

1. K. Müller
2. Benjamin Blankertz
3. Herbert Ramoser
4. Gert Pfurtscheller
5. Jonathan R. Wolpaw
6. Gabriel Curio
7. J. Müller-Gerking
8. Gunnar Rätsch
9. Charles Anderson
10. Niels Birbaumer

Who trusts Guido Dornhege overall

1. Benjamin Blankertz
2. Kai Keng Ang
3. Fabien Lotte
4. K. Müller
5. Steven Lemm
6. Cuntai Guan
7. Matthias Krauledat
8. Christian Andreas Kothe
9. Carmen Vidaurre
10. Le Song

Papers from Guido Dornhege's perspective

Ordered by how strongly the researchers Guido Dornhege 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. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
3. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
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. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). (IEEE transactions on rehabilitation engineering)
9. 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)
10. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (Brain research. Cognitive brain research)

Their papers

• The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects (2008) — 339 citations
• Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing (2006) — 406 citations
• Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring. (2008) — 506 citations
• The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects (2007) — 1,006 citations
• The Berlin brain-computer interface: EEG-based communication without subject training (2006) — 358 citations
• Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (2004) — 662 citations