Carmen Vidaurre

Cognitive Neuroscience · 2009–2012

A researcher in the Science corpus: 6 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 131 citations into it; #2,684 of 10,852 by trust here, #2,786 by citations
• Cellular and Molecular Neuroscience — 67 citations into it; #638 of 2,998 by trust here, #1,239 by citations
• Electrical and Electronic Engineering — 27 citations into it; #7,393 of 16,539 by trust here, #12,727 by citations
• Signal Processing — 23 citations into it
• Artificial Intelligence — 9 citations into it

Whom Carmen Vidaurre trusts overall

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

1. Benjamin Blankertz
2. K. Müller
3. Masashi Sugiyama
4. Matthias Krauledat
5. Olivier Ledoit
6. Guido Dornhege
7. Lotfi A. Zadeh
8. Michael Wolf
9. Oliver Ledoit
10. Pradeep Shenoy

Who trusts Carmen Vidaurre overall

1. Fabien Lotte
2. Benjamin Blankertz
3. C. Michel
4. Steven Lemm
5. Olivier Ledoit
6. Cuntai Guan
7. O-Yeon Kwon
8. Micah M. Murray
9. Michael Wolf
10. Min-Ho Lee

Papers from Carmen Vidaurre's perspective

Ordered by how strongly the researchers Carmen Vidaurre 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects (NeuroImage)
4. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
5. ImageNet classification with deep convolutional neural networks
6. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (Brain research. Cognitive brain research)
7. Towards adaptive classification for BCI (Journal of Neural Engineering)
8. Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
9. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
10. Gradient-based learning applied to document recognition

Their papers

• Towards a Cure for BCI Illiteracy (2009) — 514 citations
• Review of the BCI Competition IV (2012) — 1,302 citations
• Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces (2011) — 302 citations
• Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (2010) — 919 citations
• The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology (2010) — 396 citations
• Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces (2009) — 318 citations