Adriana S Méndez Leal
Cognitive Neuroscience · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 29 citations into it; #10,204 of 10,852 by trust here, #4,819 by citations
- Signal Processing — 8 citations into it; #7,315 of 7,572 by trust here, #3,566 by citations
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
Whom Adriana S Méndez Leal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Irene Winkler
- Arnaud Delorme
- David L. Donoho
- Scott Makeig
- Christian Andreas Kothe
- Jiapeng Xie
- T. Mullen
- Nazareth P. Castellanos
- Tapan Kumar Gandhi
- A. Mognon
Who trusts Adriana S Méndez Leal overall
Papers from Adriana S Méndez Leal's perspective
Ordered by how strongly the researchers Adriana S Méndez Leal trusts endorse each paper. Same corpus, a different order for every researcher.
- EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
- BCILAB: a platform for brain–computer interface development (Journal of Neural Engineering)
- ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features. (Psychophysiology)
- Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals (Behavioral and Brain Functions)
- Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. (Psychophysiology)
- Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis (NeuroImage)
- FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection. (Journal of Neuroscience Methods)
- Robust artifactual independent component classification for BCI practitioners (Journal of Neural Engineering)
- Noise Reduction by Wavelet Thresholding
- Real-Time Modeling and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG (Annual International Conference of the IEEE Engineering in Medicine and Biology Society)