Carmen Vidaurre

Research

Associate Group Leader. Ikerbasque Research Associate Professor 2021-2026

Keywords: multimodality, machine learning, multivariate analysis, electrophysiology, fMRI

Dr. Carmen Vidaurre (female) is data analyst and PhD. in Telecommunication Engineering (summa cum laude, international excellence mention, 2006) from the Public University of Navarre. As predoc student, she was awarded a "Formación de Profesorado Universitario, FPU" fellowship to pursue her PhD in the field of co-adaptation for Brain Computer Interfaces. She was guest research at the TU-Graz in the former Institute for Biomedical Engineering between 2002 and 2005. After finalizing her PhD, she was awarded with a Marie Curie Postdoc Fellow to continue her research in online learning topics at the Fraunhofer Institute for Sofware Technik (Intelligent Data Analysis Group) in Berlin, Germany from 2006 to 2008. In 2008 she moved to the TU-Berlin, Machine Learning Group where she was PI of several national and international projects in the field of data analysis for brain signals until 2016. Between 2016 and 2021 she was Ramon y Cajal fellow (with I3 certificate) at the Public University of Navarre, where she developed multimodal methods to understand brain and muscle function. In 2021 she was awarded an Ikerbasque Research Associate permanent contract at Tecnalia Health, Neurotechnology Lab. In 2023 she joined BCBL where she leads a research line on multimodal methods for neuroimaging signals.

Research group: Signal Processing in Neuroimaging

c.vidaurre@bcbl.eu

+34 943 309 300

In press

Mengxing, L., Wang, S., Vidaurre, C., Guediche, S., Lerma-Usabiaga, G., & Paz-Alonso, P.M. (In press). Language comprehension functionally modulates first-order relay thalamic nuclei. eLife. Doi:https://doi.org/10.7554/eLife.109448.1

2026

Eguinoa, R., San Martín, R., Luna, P., Herrojo Ruiz, M., & Vidaurre, C. (2026). An EEG correlation framework to study state anxiety and learning under uncertainty. Journal of Neural Engineering, 23(1). Doi:10.1088/1741-2552/ae3f58

Vidaurre, C., Eguinoa, R., Maudrich, T., Kenville, R., Irastorza-Landa, N., San Martín, R., & Nikulin, V. (2026). Canonical coherence for the estimation of within- and cross-frequency cortico-kinematic interactions. Scientific Reports, 16(1). Doi:10.1038/s41598-026-49471-6

2024

Fumanal-Idocin, J., Vidaurre, C., Fernandez, J., Gómez, M., Andreu-Perez, J., Prasad, M., & Bustince, H. (2024). Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface. Pattern Recognition, 145. Doi:10.1016/j.patcog.2023.109924

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., Villringer, A., & Nikulin, V. (2024). Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data. Journal of Neural Engineering, 21(5). Doi:10.1088/1741-2552/ad7a24

Lai, G., Landi, D., Vidaurre, C., Bhattacharya, J., & Ruiz, M.H. (2024). Cardiac cycle modulates alpha and beta suppression during motor imagery. Cerebral Cortex, 34(11). Doi:10.1093/cercor/bhae442

2023

Cho, W., Vidaurre, C., An, J., Birbaumer, N., & Ramos-Murguialday, A. (2023). Cortical processing during robot and functional electrical stimulation. Frontiers in Systems Neuroscience, 17. Doi:10.3389/fnsys.2023.1045396

Jorajuría, T., Nikulin, V.V., Kapralov, N., Gómez, M., & Vidaurre, C. (2023). MEANSP: How Many Channels are Needed to Predict the Performance of a SMR-Based BCI?. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4931-4941. Doi:10.1109/TNSRE.2023.3339612

Vidaurre, C., Gurunandan, K., Idaji, M.J., Nolte, G., Gómez, M., Villringer, A., Müller, K.R., & Nikulin, V.V. (2023). Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings. Neuroimage, 276. Doi:10.1016/j.neuroimage.2023.120178

Vidaurre, C., Irastorza-Landa, N., Sarasola-Sanz, A., Insausti-Delgado, A., Ray, A.M., Bibián, C., Helmhold, F., Mahmoud, W.J., Ortego-Isasa, I., López-Larraz, E., Lozano Peiteado, H., & Ramos-Murguialday, A. (2023). Challenges of neural interfaces for stroke motor rehabilitation. Frontiers in Human Neuroscience, 17. Doi:10.3389/fnhum.2023.1070404

Vidaurre, C., Nikulin, V.V., & Herrojo Ruiz, M. (2023). Identification of spatial patterns with maximum association between power of resting state neural oscillations and trait anxiety. Neural Computing and Applications, 35(8), 5737-5749. Doi:10.1007/s00521-022-07847-5

2022

Fumanal-Idocin, J., Takáč, Z., Horanská, , da Cruz Asmus, T., Dimuro, G., Vidaurre, C., Fernandez, J., & Bustince, H. (2022). A generalization of the Sugeno integral to aggregate interval-valued data: An application to brain computer interface and social network analysis. Fuzzy Sets and Systems, 451, 320-341. Doi:10.1016/j.fss.2022.10.003

Jorajuría, T., Jamshidi Idaji, M., İşcan, Z., Gómez, M., Nikulin, V.V., & Vidaurre, C. (2022). Oscillatory Source Tensor Discriminant Analysis (OSTDA): A regularized tensor pipeline for SSVEP-based BCI systems. Neurocomputing, 492, 664-675. Doi:10.1016/j.neucom.2021.07.103

2021

Nierhaus, T., Vidaurre, C., Sannelli, C., Mueller, K.R., & Villringer, A. (2021). Immediate brain plasticity after one hour of brain–computer interface (BCI). Journal of Physiology, 599(9), 2435-2451. Doi:10.1113/JP278118

Vidaurre, C., Jorajuría, T., Ramos-Murguialday, A., Müller, K.R., Gómez, M., & Nikulin, V.V. (2021). Improving motor imagery classification during induced motor perturbations. Journal of Neural Engineering, 18(4). Doi:10.1088/1741-2552/ac123f

Fumanal-Idocin, J., Vidaurre, C., Gomez, M., Urio, A., Bustince, H., Papco, M., & Dimuro, G.P. (2021). Optimizing a Weighted Moderate Deviation for Motor Imagery Brain Computer Interfaces. IEEE International Conference on Fuzzy Systems, 2021-July. Doi:10.1109/FUZZ45933.2021.9494492

Vidaurre, C., Nikulin, V.V., & Ruiz, M.H. (2021). Optimized alpha band patterns correlated with trait anxiety. Proceedings IEEE Symposium on Computer Based Medical Systems, 2021-June, 450-454. Doi:10.1109/CBMS52027.2021.00051

2020

Kenville, R., Maudrich, T., Vidaurre, C., Maudrich, D., Villringer, A., Nikulin, V.V., & Ragert, P. (2020). Corticomuscular interactions during different movement periods in a multi-joint compound movement. Scientific Reports, 10(1). Doi:10.1038/s41598-020-61909-z

Kenville, R., Maudrich, T., Vidaurre, C., Maudrich, D., Villringer, A., Ragert, P., & Nikulin, V.V. (2020). Intermuscular coherence between homologous muscles during dynamic and static movement periods of bipedal squatting. Journal of Neurophysiology, 124(4), 1045-1055. Doi:10.1152/JN.00231.2020

Vidaurre, C., Haufe, S., Jorajuría, T., Müller, K.R., & Nikulin, V.V. (2020). Sensorimotor Functional Connectivity: A Neurophysiological Factor Related to BCI Performance. Frontiers in Neuroscience, 14. Doi:10.3389/fnins.2020.575081

Jorajuría, T., Gómez, M., & Vidaurre, C. (2020). A Fast SSVEP-Based Brain-Computer Interface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12344 LNAI, 49-60. Doi:10.1007/978-3-030-61705-9_5

Vidaurre, C., Gomez, M., Nolte, G., Villringer, A., Von Carlowitz-Ghori, K., & Nikulin, V.V. (2020). Sources of linear and non-linear synchrony between brain and muscles: Linear and non-linear CMC sources. 8th International Winter Conference on Brain Computer Interface Bci 2020. Doi:10.1109/BCI48061.2020.9061667

2019

Sannelli, C., Vidaurre, C., Müller, K.R., & Blankertz, B. (2019). A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity. Plos One, 14(1). Doi:10.1371/journal.pone.0207351

Vidaurre, C., Nolte, G., de Vries, I.E.J., Gómez, M., Boonstra, T.W., Müller, K.R., Villringer, A., & Nikulin, V.V. (2019). Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets. Neuroimage, 201. Doi:10.1016/j.neuroimage.2019.116009

Vidaurre, C., Ramos Murguialday, A., Haufe, S., Gómez, M., Müller, K.R., & Nikulin, V.V. (2019). Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation. Neuroimage, 199, 375-386. Doi:10.1016/j.neuroimage.2019.05.074

Scherer, R., Faller, J., Sajda, P., & Vidaurre, C. (2019). EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success?. 2018 10th Computer Science and Electronic Engineering Conference Ceec 2018 Proceedings, 299-304. Doi:10.1109/CEEC.2018.8674198

2017

Müller, J.S., Vidaurre, C., Schreuder, M., Meinecke, F.C., Von Bünau, P., & Müller, K.R. (2017). A mathematical model for the two-learners problem. Journal of Neural Engineering, 14(3). Doi:10.1088/1741-2552/aa620b

2016

Acqualagna, L., Botrel, L., Vidaurre, C., Kübler, A., & Blankertz, B. (2016). Large-scale assessment of a fully automatic co-adaptive motor imagery-based brain computer interface. Plos One, 11(2). Doi:10.1371/journal.pone.0148886

Sannelli, C., Vidaurre, C., Müller, K.R., & Blankertz, B. (2016). Ensembles of adaptive spatial filters increase BCI performance: An online evaluation. Journal of Neural Engineering, 13(4). Doi:10.1088/1741-2560/13/4/046003

Vidaurre, C., Klauer, C., Schauer, T., Ramos-Murguialday, A., & Müller, K.R. (2016). EEG-based BCI for the linear control of an upper-limb neuroprosthesis. Medical Engineering and Physics, 38(11), 1195-1204. Doi:10.1016/j.medengphy.2016.06.010

2015

Vidaurre, C., Sannelli, C., Samek, W., Dähne, S., & Müller, K.R. (2015). Machine learning methods of the Berlin brain-computer interface. IFAC Papersonline, 28(20), 447-452. Doi:10.1016/j.ifacol.2015.10.181

2014

Kawanabe, M., Samek, W., Müller, K.R., & Vidaurre, C. (2014). Robust common spatial filters with a maxmin approach. Neural Computation, 26(2), 349-376. Doi:10.1162/NECO_a_00544

Lorenz, R., Pascual, J., Blankertz, B., & Vidaurre, C. (2014). Towards a holistic assessment of the user experience with hybrid BCIs. Journal of Neural Engineering, 11(3). Doi:10.1088/1741-2560/11/3/035007

2013

Pedrocchi, A., Ferrante, S., Ambrosini, E., Gandolla, M., Casellato, C., Schauer, T., Klauer, C., Pascual, J., Vidaurre, C., Gföhler, M., Reichenfelser, W., Karner, J., Micera, S., Crema, A., Molteni, F., Rossini, M., Palumbo, G., Guanziroli, E., Jedlitschka, A., Hack, M., Bulgheroni, M., D'Amico, E., Schenk, P., Zwicker, S., Duschau-Wicke, A., Miseikis, J., Graber, L., & Ferrigno, G. (2013). MUNDUS project: MUltimodal Neuroprosthesis for daily Upper limb Support. Journal of Neuroengineering and Rehabilitation, 10(1). Doi:10.1186/1743-0003-10-66

Vidaurre, C., Pascual, J., Ramos-Murguialday, A., Lorenz, R., Blankertz, B., Birbaumer, N., & Müller, K.R. (2013). Neuromuscular electrical stimulation induced brain patterns to decode motor imagery. Clinical Neurophysiology, 124(9), 1824-1834. Doi:10.1016/j.clinph.2013.03.009

Porbadnigk, A.K., Treder, M.S., Fazli, S., Tangermann, M., Vidaurre, C., Haufe, S., Curio, G., Blankertz, B., & Müller, K.R. (2013). Decoding cognitive brain states. 2013 International Winter Workshop on Brain Computer Interface Bci 2013, 16-18. Doi:10.1109/IWW-BCI.2013.6506613

2012

Faller, J., Vidaurre, C., Solis-Escalante, T., Neuper, C., & Scherer, R. (2012). Autocalibration and recurrent adaptation: Towards a plug and play online ERD-BCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(3), 313-319. Doi:10.1109/TNSRE.2012.2189584

Samek, W., Vidaurre, C., Müller, K.R., & Kawanabe, M. (2012). Stationary common spatial patterns for brain-computer interfacing. Journal of Neural Engineering, 9(2). Doi:10.1088/1741-2560/9/2/026013

Pascual, J., Velasco-Alvarez, F., Muller, K.R., & Vidaurre, C. (2012). First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 3269-3273. Doi:10.1109/EMBC.2012.6346663

Samek, W., Muller, K.R., Kawanabe, M., & Vidaurre, C. (2012). Brain-computer interfacing in discriminative and stationary subspaces. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 2873-2876. Doi:10.1109/EMBC.2012.6346563

Sannelli, C., Vidaurre, C., Muller, K.R., & Blankertz, B. (2012). Common spatial pattern patches: Online evaluation on BCI-naive users. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 4744-4747. Doi:10.1109/EMBC.2012.6347027

Tangermann, M., Müller, K.R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K.J., Müller-Putz, G.R., Nolte, G., Pfurtscheller, G., Preissl, H., Schalk, G., Schlögl, A., Vidaurre, C., Waldert, S., & Blankertz, B. (2012). Review of the BCI competition IV. Frontiers in Neuroscience(JULY). Doi:10.3389/fnins.2012.00055

2011

Brunner, C., Billinger, M., Vidaurre, C., & Neuper, C. (2011). A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces. Medical and Biological Engineering and Computing, 49(11), 1337-1346. Doi:10.1007/s11517-011-0828-x

Schölgl, A., Vidaurre, C., & Sander, T.H. (2011). BioSig: The free and open source software library for biomedical signal processing. Computational Intelligence and Neuroscience, 2011. Doi:10.1155/2011/935364

Vidaurre, C., Kawanabe, M., Von Bünau, P., Blankertz, B., & Müller, K.R. (2011). Toward unsupervised adaptation of LDA for brain-computer interfaces. IEEE Transactions on Biomedical Engineering, 58(3 PART 1), 587-597. Doi:10.1109/TBME.2010.2093133

Cho, W., Vidaurre, C., Hoffmann, U., Birbaumer, N., & Ramos-Murguialday, A. (2011). Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 7310-7315. Doi:10.1109/IEMBS.2011.6091705

Pascual, J., Kawanabe, M., & Vidaurre, C. (2011). Modelling non-stationarities in EEG data with robust principal component analysis. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 6679 LNAI(PART 2), 51-58. Doi:10.1007/978-3-642-21222-2_7

Sannelli, C., Vidaurre, C., Müller, K.R., & Blankertz, B. (2011). CSP patches: An ensemble of optimized spatial filters. An evaluation study. Journal of Neural Engineering, 8(2). Doi:10.1088/1741-2560/8/2/025012

Vidaurre, C., Sannelli, C., Müller, K.R., & Blankertz, B. (2011). Co-adaptive calibration to improve BCI efficiency. Journal of Neural Engineering, 8(2). Doi:10.1088/1741-2560/8/2/025009

Wojcikiewicz, W., Vidaurre, C., & Kawanabe, M. (2011). Stationary common spatial patterns: Towards robust classification of non-stationary EEG signals. ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 577-580. Doi:10.1109/ICASSP.2011.5946469

Wojcikiewicz, W., Vidaurre, C., & Kawanabe, M. (2011). Improving classification performance of BCIs by using stationary common spatial patterns and unsupervised bias adaptation. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 6679 LNAI(PART 2), 34-41. Doi:10.1007/978-3-642-21222-2_5

Vidaurre, C., Sannelli, C., Müller, K.R., & Blankertz, B. (2011). Machine-learning-based coadaptive calibration for Brain-computer interfaces. Neural Computation, 23(3), 791-816. Doi:10.1162/NECO_a_00089

2010

Vidaurre, C., & Blankertz, B. (2010). Towards a cure for BCI illiteracy. Brain Topography, 23(2), 194-198. Doi:10.1007/s10548-009-0121-6

Sannelli, C., Vidaurre, C., Müller, K.R., & Blankertz, B. (2010). Common spatial pattern patches - An optimized filter ensemble for adaptive Brain-Computer Interfaces. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Embc 10, 4351-4354. Doi:10.1109/IEMBS.2010.5626227

Vidaurre, C., Sannelli, C., Müller, K.R., & Blankertz, B. (2010). Machine-learning based co-adaptive calibration: A perspective to fight BCI illiteracy. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 6076 LNAI(PART 1), 413-420. Doi:10.1007/978-3-642-13769-3_50

Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., & Müller, K.R. (2010). The Berlin brain-computer interface: Non-medical uses of BCI technology. Frontiers in Neuroscience, 4(DEC). Doi:10.3389/fnins.2010.00198

Millán, J.D.R., Rupp, R., Müller-Putz, G.R., Murray-Smith, R., Giugliemma, C., Tangermann, M., Vidaurre, C., Cincotti, F., Kübler, A., Leeb, R., Neuper, C., Müller, K.R., & Mattia, D. (2010). Combining brain-computer interfaces and assistive technologies: State-of-the-art and challenges. Frontiers in Neuroscience, 4(SEP). Doi:10.3389/fnins.2010.00161

2009

Vidaurre, C., Krämer, N., Blankertz, B., & Schlögl, A. (2009). Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces. Neural Networks, 22(9), 1313-1319. Doi:10.1016/j.neunet.2009.07.020

Kawanabe, M., & Vidaurre, C. (2009). Improving BCI performance by modified common spatial patterns with robustly averaged covariance matrices. Ifmbe Proceedings, 25(9), 279-282. Doi:10.1007/978-3-642-03889-1_75

Kawanabe, M., Vidaurre, C., Blankertz, B., & Müller, K.R. (2009). A maxmin approach to optimize spatial filters for eeg single-trial classification. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 5517 LNCS(PART 1), 674-682. Doi:10.1007/978-3-642-02478-8_84

Kawanabe, M., Vidaurre, C., Scholler, S., & Müller, K.R. (2009). Robust common spatial filters with a maxmin approach. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering the Future of Biomedicine Embc 2009, 2470-2473. Doi:10.1109/IEMBS.2009.5334786

Tangermann, M.W., Krauledat, M., Grzeska, K., Sagebaum, M., Vidaurre, C., Blankertz, B., & Müller, K.R. (2009). Playing pinball with non-invasive BCI. Advances in Neural Information Processing Systems 21 Proceedings of the 2008 Conference, 1641-1648.

2008

Pastor, M.A., Vidaurre, C., Fernández-Seara, M.A., Villanueva, A., & Friston, K.J. (2008). Frequency-specific coupling in the cortico-cerebellar auditory system. Journal of Neurophysiology, 100(4), 1699-1705. Doi:10.1152/jn.01156.2007

Schlögl, A., Vidaurre, C., Hofer, E., Wiener, T., Brunner, C., Scherer, R., & Chiarugi, F. (2008). BIOSIG - Standardization and quality control in biomedical signal processing using the BioSig project. Biosignals 2008 Proceedings of the 1st International Conference on Bio Inspired Systems and Signal Processing, 2, 403-409.

Vidaurre, C., & Schlögl, A. (2008). Comparison of adaptive features with linear discriminant classifier for Brain computer Interfaces. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 08 Personalized Healthcare Through Technology, 173-176. Doi:10.1109/iembs.2008.4649118

2007

Vidaurre, C., Scherer, R., Cabeza, R., Schlögl, A., & Pfurtscheller, G. (2007). Study of discriminant analysis applied to motor imagery bipolar data. Medical and Biological Engineering and Computing, 45(1), 61-68. Doi:10.1007/s11517-006-0122-5

Vidaurre, C., Schlögl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2007). Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces. IEEE Transactions on Biomedical Engineering, 54(3), 550-556. Doi:10.1109/TBME.2006.888836

2006

Vidaurre, C., Schlöogl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2006). A fully on-line adaptive BCI. IEEE Transactions on Biomedical Engineering, 53(6), 1214-1219. Doi:10.1109/TBME.2006.873542

Pfurtscheller, G., Müller-Putz, G.R., Schlögl, A., Graimann, B., Scherer, R., Leeb, R., Brunner, C., Keinrath, C., Lee, F., Townsend, G., Vidaurre, C., & Neuper, C. (2006). 15 Years of BCI research at Graz University of Technology: Current projects. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2), 205-210. Doi:10.1109/TNSRE.2006.875528

2005

Vidaurre, C., Schlögl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2005). Adaptive on-line classification for EEG-based Brain Computer Interfaces with ARR parameters and band power estimates. Biomedizinische Technik, 50(11), 350-354. Doi:10.1515/BMT.2005.049

2025

CAN-LISten: Co-Adaptive NeuroLinguistic Interface for Speech Comprehension

Program: Plan Nacional 2024, PID2024-161502OB-I00
Funding agency: Spanish Ministry
09/2025- 08/2029
Funding: 149.000 €
PI: Carmen Vidaurre Team members: Rachelle Hamelink & Shiya Wang

2022

Centro de Excelencia Severo Ochoa: BCBL

Program: CEX2020-001010-S
Funding agency: Spanish Ministry
01/2022- 12/2025
Funding: 4.000.000 €
PI: Prof. Manuel Carreiras Guarantors: Pedro M. Paz-Alonso, Cesar Caballero-Gaudes, Brendan Costello, Marina Kalashnikova, Marie Lallier, Nicola Molinaro, Carmen Vidaurre, Arthur G. Samuel, Clara Martin, & Efthymia Kapnoula.

In progress

-- (2027 - 2036)

-- Universidad Pública de Navarra (2027 - 2036)

--- (2027 - 2036)

to be decided University of the Basque Country, EHU (2027 - 2036)

Multimodal tools to improve neurofeedback performance with immersive virtual environments and cognitive variables Universidad Pública de Navarra (2022 - 2026)

Defended

Toward robustness and performance prediction in Brain-Computer Interfacing Universidad Pública de Navarra (2018 - 2024)