| Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials N Waytowich, VJ Lawhern, JO Garcia, J Cummings, J Faller, P Sajda, ... Journal of neural engineering 15 (6), 066031, 2018 | 237 | 2018 |
| Combining BCI with virtual reality: towards new applications and improved BCI F Lotte, J Faller, C Guger, Y Renard, G Pfurtscheller, A Lécuyer, R Leeb Towards Practical Brain-Computer Interfaces: Bridging the Gap from Research …, 2013 | 196 | 2013 |
| Autocalibration and recurrent adaptation: Towards a plug and play online ERD-BCI J Faller, C Vidaurre, T Solis-Escalante, C Neuper, R Scherer IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 (3 …, 2012 | 183 | 2012 |
| Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task J Faller, J Cummings, S Saproo, P Sajda Proceedings of the National Academy of Sciences 116 (13), 6482-6490, 2019 | 153 | 2019 |
| Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier D Steyrl, R Scherer, J Faller, GR Müller-Putz Biomedical Engineering/Biomedizinische Technik 61 (1), 77-86, 2016 | 128 | 2016 |
| On the control of brain-computer interfaces by users with cerebral palsy I Daly, M Billinger, J Laparra-Hernández, F Aloise, ML García, J Faller, ... Clinical Neurophysiology 124 (9), 1787-1797, 2013 | 111 | 2013 |
| An application framework for controlling an avatar in a desktop-based virtual environment via a software SSVEP brain–computer interface J Faller, G Müller-Putz, D Schmalstieg, G Pfurtscheller Presence: teleoperators and virtual environments 19 (1), 25-34, 2010 | 111 | 2010 |
| What does clean EEG look like? I Daly, F Pichiorri, J Faller, V Kaiser, A Kreilinger, R Scherer, ... 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 108 | 2012 |
| Electroencephalography based analysis of working memory load and affective valence in an n-back task with emotional stimuli S Grissmann, J Faller, C Scharinger, M Spüler, P Gerjets Frontiers in human neuroscience 11, 616, 2017 | 86 | 2017 |
| Individually adapted imagery improves brain-computer interface performance in end-users with disability R Scherer, J Faller, EVC Friedrich, E Opisso, U Costa, A Kübler, ... PloS one 10 (5), e0123727, 2015 | 83 | 2015 |
| Brain-controlled applications using dynamic P300 speller matrices S Halder, A Pinegger, I Käthner, SC Wriessnegger, J Faller, JBP Antunes, ... Artificial intelligence in medicine 63 (1), 7-17, 2015 | 74 | 2015 |
| Brain–computer interfacing: more than the sum of its parts R Scherer, J Faller, D Balderas, EVC Friedrich, M Pröll, B Allison, ... Soft computing 17, 317-331, 2013 | 68 | 2013 |
| Control or non-control state: that is the question! An asynchronous visual P300-based BCI approach A Pinegger, J Faller, S Halder, SC Wriessnegger, GR Müller-Putz Journal of neural engineering 12 (1), 014001, 2015 | 64 | 2015 |
| Evaluation of different EEG acquisition systems concerning their suitability for building a brain–computer interface: case studies A Pinegger, SC Wriessnegger, J Faller, GR Müller-Putz Frontiers in neuroscience 10, 441, 2016 | 60 | 2016 |
| A co-adaptive brain-computer interface for end users with severe motor impairment J Faller, R Scherer, U Costa, E Opisso, J Medina, GR Müller-Putz PloS one 9 (7), e101168, 2014 | 60 | 2014 |
| A feasibility study on SSVEP-based interaction with motivating and immersive virtual and augmented reality J Faller, BZ Allison, C Brunner, R Scherer, D Schmalstieg, G Pfurtscheller, ... arXiv preprint arXiv:1701.03981, 2017 | 57 | 2017 |
| Braincomputer interface systems used for virtual reality control G Pfurtscheller, R Leeb, J Faller, C Neuper Virtual Reality 1, 3-20, 2011 | 51 | 2011 |
| Unsupervised adaptive transfer learning for steady-state visual evoked potential brain-computer interfaces NR Waytowich, J Faller, JO Garcia, JM Vettel, P Sajda 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 42 | 2016 |
| 14—BCIS that use steady-state visual evoked potentials or slow cortical potentials B Allison, J Faller, C Neuper Brain-Computer Interfaces: Principles and Practice, 241, 2012 | 41 | 2012 |
| Non-motor tasks improve adaptive brain-computer interface performance in users with severe motor impairment J Faller, R Scherer, EVC Friedrich, U Costa, E Opisso, J Medina, ... Frontiers in neuroscience 8, 320, 2014 | 38 | 2014 |
Reinhold SchererUniversity of EssexAdresse e-mail validée de essex.ac.uk