Gabriel Curio
Cognitive Neuroscience · 2001–2021
A researcher in the Science corpus: 14 papers; trusts 26 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 138 citations into it; #506 of 10,852 by trust here, #601 by citations
- Cellular and Molecular Neuroscience — 59 citations into it; #231 of 2,998 by trust here, #352 by citations
- Electrical and Electronic Engineering — 34 citations into it; #3,899 of 16,539 by trust here, #5,458 by citations
- Signal Processing — 24 citations into it; #3,446 of 7,572 by trust here, #1,904 by citations
- Artificial Intelligence — 18 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Human-Computer Interaction — 9 citations into it
- Statistical Learning Theory — 9 citations into it
Whom Gabriel Curio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- K. Müller
- Benjamin Blankertz
- Herbert Ramoser
- Guido Dornhege
- Jonathan R. Wolpaw
- Gert Pfurtscheller
- J. Müller-Gerking
- Gunnar Rätsch
- Christoph Guger
- Vladimir Naumovich Vapni
Who trusts Gabriel Curio overall
- Benjamin Blankertz
- Steven Lemm
- K. Müller
- Kai Keng Ang
- Luis F. Nicolás-Alonso
- Fabien Lotte
- Guido Dornhege
- Cuntai Guan
- Matthias Krauledat
- Carmen Vidaurre
Papers from Gabriel Curio's perspective
Ordered by how strongly the researchers Gabriel Curio trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
- Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
- Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
- Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
- Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
- Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (IEEE Transactions on Biomedical Engineering)
- 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)
- Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (Brain research. Cognitive brain research)
- AND T
- Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). (IEEE transactions on rehabilitation engineering)
Their papers
- The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials (2004) — 727 citations
- 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
- Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations (2021)
- A novel method for reliable and fast extraction of neuronal EEG/MEG oscillations on the basis of spatio-spectral decomposition (2011)
- Neurophysiological predictor of SMR-based BCI performance (2010) — 691 citations
- The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology (2010) — 396 citations
- Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring. (2008) — 506 citations
- Recommendations for the clinical use of somatosensory-evoked potentials. (2008) — 654 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
- Spatio-spectral filters for improving the classification of single trial EEG (2005) — 663 citations
- Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (2004) — 662 citations
- Classifying Single Trial EEG: Towards Brain Computer Interfacing (2001) — 572 citations