A survey of stimulation methods used in SSVEP‐based BCIs D Zhu, J Bieger, G Garcia Molina, RM Aarts Computational intelligence and neuroscience 2010 (1), 702357, 2010 | 843 | 2010 |
Enhancement of sleep slow waves: underlying mechanisms and practical consequences M Bellesi, BA Riedner, GN Garcia-Molina, C Cirelli, G Tononi Frontiers in systems neuroscience 8, 208, 2014 | 291 | 2014 |
Emotional brain–computer interfaces G Garcia-Molina, T Tsoneva, A Nijholt International journal of autonomous and adaptive communications systems 6 (1 …, 2013 | 193 | 2013 |
EEG signal classification for brain computer interface applications JB Ochoa Ecole Polytechnique Federale de Lausanne 7 (1), 72, 2002 | 144 | 2002 |
Recurrent deep neural networks for real-time sleep stage classification from single channel EEG E Bresch, U Großekathöfer, G Garcia-Molina Frontiers in computational neuroscience 12, 85, 2018 | 104 | 2018 |
Comparison of feature and classifier algorithms for online automatic sleep staging based on a single EEG signal M Radha, G Garcia-Molina, M Poel, G Tononi 2014 36th annual international conference of the IEEE engineering in …, 2014 | 85 | 2014 |
Joint time-frequency-space classification of EEG in a brain-computer interface application GNG Molina, T Ebrahimi, JM Vesin EURASIP Journal on Advances in Signal Processing 2003, 1-17, 2003 | 85 | 2003 |
Closed-loop system to enhance slow-wave activity DPW Gary Garcia Molina, Tsvetomira Kirova Tsoneva, Jeff Jasko, Brenda Steele ... Journal of Neural Engineering, 2018 | 81 | 2018 |
Optimal spatial filtering for the steady state visual evoked potential: BCI application G Garcia-Molina, D Zhu 2011 5th International IEEE/EMBS Conference on Neural Engineering, 156-160, 2011 | 77 | 2011 |
Binary biometrics: An analytic framework to estimate the performance curves under gaussian assumption EJC Kelkboom, GG Molina, J Breebaart, RNJ Veldhuis, TAM Kevenaar, ... IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010 | 63 | 2010 |
Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application GG Molina, V Mihajlovic Walter de Gruyter 55 (3), 173-182, 2010 | 58 | 2010 |
Morphological synthesis of ECG signals for person authentication GG Molina, F Bruekers, C Presura, M Damstra, M van der Veen 2007 15th European Signal Processing Conference, 738-742, 2007 | 54 | 2007 |
Methods for attaching nucleic acid molecules to electrically conductive surfaces D Connolly, C DeBoer, D Chafin, R Murante US Patent App. 10/159,429, 2003 | 48* | 2003 |
Adjustment of sensory stimulation intensity to enhance sleep slow wave activity GNG Molina, M Bellesi, BA Riedner, G Tononi US Patent 10,220,183, 2019 | 46 | 2019 |
EEG-rhythm dynamics during a 2-back working memory task and performance T Tsoneva, D Baldo, V Lema, G Garcia-Molina 2011 annual international conference of the ieee engineering in medicine and …, 2011 | 44 | 2011 |
System and method for enhancing sleep slow wave activity based on cardiac activity GNG Molina, CN Presura, S Pfundtner, ST Pastoor US Patent 10,183,142, 2019 | 39 | 2019 |
Online BCI implementation of high-frequency phase modulated visual stimuli D Zhu, G Garcia-Molina, V Mihajlović, RM Aarts Universal Access in Human-Computer Interaction. Users Diversity: 6th …, 2011 | 38 | 2011 |
Effects of stimulation properties in steady-state visual evoked potential based brain-computer interfaces J Bieger, GG Molina, D Zhu Proceedings of 32nd Annual International Conference of the IEEE Engineering …, 2010 | 37 | 2010 |
SSVEP phase synchronies and propagation during repetitive visual stimulation at high frequencies T Tsoneva, G Garcia-Molina, P Desain Scientific reports 11 (1), 4975, 2021 | 36 | 2021 |
Phase synchrony analysis for SSVEP-based BCIs D Zhu, GG Molina, V Mihajlović, RM Aarts 2010 2nd International Conference on Computer Engineering and Technology 2 …, 2010 | 31 | 2010 |