Professor Reinhold Scherer
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Email
r.scherer@essex.ac.uk -
Location
1NW.5.3A, Colchester Campus
Profile
Biography
I am a Professor in Brain-Computer Interfaces (BCIs) and Neural Engineering (NE) in CSEE and co-director of the Essex BCI-NE laboratory. I obtained a Dr.techn (PhD) degree in computer science from Graz University of Technology, Austria in 2008. My thesis was about enhancement of usability and practicality of electroencephalogram (EEG)-based BCIs. From 2008 to 2010 I was postdoctoral researcher at the Department for Computer Science & Engineering, University of Washington, Seattle, USA. In 2010 I joined the Graz University of Technology again as Assistant Professor. I received my habilitation (venia docendi) and became Assistant Professor in 2016. From 2011 to 2018 I was deputy director of the Institute of Neural Engineering, home of the Graz-BCI laboratory. I joined the University of Essex in 2019. My primary research interests are in the areas of online brain-machine co-adaptation, statistical and adaptive signal processing, mobile brain and body imaging, and rehabilitation. Active research topics focus on gaining deeper insights into brain dynamics and mechanisms underlying motor and cognitive learning, with the goal of improving the interpretability of brain rhythms and thereby optimizing the performance of spontaneous EEG-based BCI interaction and rehabilitation protocols.
Qualifications
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Dipl.-Ing. Dr.techn (PhD) Graz University of Technology,
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Diplom-Ingenieur Graz University of Technology,
Appointments
University of Essex
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Professor, School of Computer Science and Electronic Engineering, University of Essex (1/1/2019 - present)
Other academic
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Associate Professor, Neural Engineering, Graz University of Technology (1/9/2016 - 31/12/2018)
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Assistant Professor, Graz University of Technology (1/11/2011 - 31/8/2016)
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Postdoctoral research fellow, Department of Computer Science, University of Washington (1/5/2008 - 30/5/2010)
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Research Associate, University of Graz (1/10/2007 - 30/4/2008)
Research and professional activities
Research interests
Brain-Computer Interfaces
Thought-based interaction with the physical world - Brain-Computer Interfaces (BCIs) translate brain signals directly into action. Motor activity is no longer required. Thoughts trigger actions. BCI research aims at providing physically disabled people communication tools that allow them to live an independent life and remain part of society. The primary goal of my research is to enhance usability and practicality of BCIs that detect changes in spontaneous noninvasive electroencephalogram (EEG) rhythms. Ultimate goal is the development of a reliable brain-switch signal that allows users 24/7 on-demand thought-based access to communication technologies. Using a BCI typically requires training. I am interested in optimizing human-machine interaction and in finding effective and efficient training paradigms. For both, human and machine.
Statistical and adaptive signal processing
Many applications, including brain-computer interfacing (BCI), require extracting relevant information from noisy signals and/or interpreting the uncertain information. I am interested in model based estimation methods for time-varying systems and in developing estimators/controllers where adaptive features are needed to handle uncertainties. Moreover, I am interested in transfer learning and findings stationary subspaces in multivariate data.
Mobile brain and body imaging
A more comprehensive knowledge of neuro-oscillatory mechanisms will lead to better understanding and interpretation of brain rhythms. To this end, it is essential to isolate specific behavior and study the related rhythms individually. It is, however, also important to study the brain behaving naturally in familiar environments. I am interested in studying the behaving brain in natural environment.
Technology-mediated rehabilitation
Directed and early rehabilitation after brain injury (e.g. stroke) aims at promoting neuroplasticity, i.e., inducing (sub)cortical reorganization for minimizing motor impairment. Long term rehabilitation significantly improves motor function. Some unique contributions of robotic therapy versus conventional therapies are that robots can be used as valuable adjuncts to save time and energy for the therapist, making rehabilitation sessions more efficient, and that rehabilitation protocols can be very precisely tailored to individual patients with only as much assistance provided as needed. I am interested in studying the interplay between therapeutic intervention, brain activity pattern and functional outcome for improving motor rehabilitation.
Assistive technology
| How can we help people with disabilities to perform tasks and activities of daily living independently? I am interested in developing novel human-machine interaction technology that support the disabled and allows regaining some degree of independence.
Teaching and supervision
Current supervision
Previous supervision
Degree subject: Psychology
Degree type: Doctor of Philosophy
Awarded date: 25/1/2024
Publications
Publications (2)
Baker, J., Efthimiou, TN., Scherer, R., Gartus, A., Elsenaar, A., Mehu, M. and Korb, S., (2023). Measurement of the N170 during facial neuromuscular electrical stimulation (fNMES)
Massetti, N., Granzotto, A., Bomba, M., Pizzi, SD., Mosca, A., Scherer, R., Onofrj, M. and Sensi, SL., (2020). A machine learning-based holistic approach for diagnoses within the Alzheimer’s disease spectrum
Journal articles (93)
Friedrich, EVC., Neuper, C. and Scherer, R., (2023). Editorial: Mind over brain, brain over mind: cognitive causes and consequences of controlling brain activity - volume II. Frontiers in Human Neuroscience. 17, 1280095-
Baker, J., Efthimiou, T., Scherer, R., Gartus, A., Elsenaar, A., Mehu, M. and Korb, S., (2023). Measurement of the N170 during facial neuromuscular electrical stimulation (fNMES).. Journal of Neuroscience Methods. 393, 109877-109877
Massetti, N., Russo, M., Franciotti, R., Nardini, D., Mandolini, G., Granzotto, A., Bomba, M., Delli Pizzi, S., Mosca, A., Scherer, R., Onofrj, M. and Sensi, SL., (2022). A Machine Learning-Based Holistic Approach to Predict the Clinical Course of Patients within the Alzheimer’s Disease Spectrum. Journal of Alzheimer's Disease. 85 (4), 1639-1655
(2022). Erratum to: A Machine Learning-Based Holistic Approach to Predict the Clinical Course of Patients within the Alzheimer’s Disease Spectrum. Journal of Alzheimer's Disease. 90 (2), 931-931
Cunha, JD., Perdikis, S., Halder, S. and Scherer, R., (2021). Post-adaptation effects in a motor imagery brain-computer interface online coadaptive paradigm. IEEE Access. 9, 41688-41703
Unterweger, J., Seeber, M., Zanos, S., Ojemann, JG. and Scherer, R., (2020). ECoG Beta Suppression and Modulation During Finger Extension and Flexion. Frontiers in Neuroscience. 14, 35-
Lan, Z., Liu, Y., Sourina, O., Wang, L., Scherer, R. and Müller-Putz, G., (2020). SAFE: An EEG dataset for stable affective feature selection. Advanced Engineering Informatics. 44, 101047-101047
Lan, Z., Sourina, O., Wang, L., Scherer, R. and Muller-Putz, GR., (2019). Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets. IEEE Transactions on Cognitive and Developmental Systems. 11 (1), 85-94
Scherer, R., (2019). Thought-based interaction: Same data, same methods, different results?. PLoS Biology. 17 (4), e3000190-e3000190
Lotte, F., Jeunet, C., Chavarriaga, R., Bougrain, L., Thompson, DE., Scherer, R., Mowla, MR., Kübler, A., Grosse-Wentrup, M., Dijkstra, K. and Dayan, N., (2019). Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research. Brain-Computer Interfaces. 6 (4), 1-12
Chavarriaga, R., Fried-Oken, M., Kleih, S., Lotte, F. and Scherer, R., (2017). Heading for new shores! Overcoming pitfalls in BCI design. Brain-Computer Interfaces. 4 (1-2), 60-73
Huggins, JE., Guger, C., Ziat, M., Zander, TO., Taylor, D., Tangermann, M., Soria-Frisch, A., Simeral, J., Scherer, R., Rupp, R., Ruffini, G., Robinson, DKR., Ramsey, NF., Nijholt, A., Müller-Putz, G., McFarland, DJ., Mattia, D., Lance, BJ., Kindermans, P-J., Iturrate, I., Herff, C., Gupta, D., Do, AH., Collinger, JL., Chavarriaga, R., Chase, SM., Bleichner, MG., Batista, A., Anderson, CW. and Aarnoutse, EJ., (2017). Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future. Brain-Computer Interfaces. 4 (1-2), 3-36
Seeber, M., Scherer, R. and Müller-Putz, GR., (2016). EEG Oscillations Are Modulated in Different Behavior-Related Networks during Rhythmic Finger Movements. The Journal of Neuroscience. 36 (46), 11671-11681
Steyrl, D., Scherer, R., Faller, J. and Müller-Putz, GR., (2016). Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier. Biomedical Engineering / Biomedizinische Technik. 61 (1), 77-86
Daly, I., Scherer, R., Billinger, M. and Müller-Putz, G., (2015). FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing.. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 23 (5), 725-736
Seeber, M., Scherer, R., Wagner, J., Solis-Escalante, T. and Müller-Putz, GR., (2015). High and low gamma EEG oscillations in central sensorimotor areas are conversely modulated during the human gait cycle. NeuroImage. 112, 318-326
Scherer, R., Faller, J., Friedrich, EVC., Opisso, E., Costa, U., Kübler, A. and Müller-Putz, GR., (2015). Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability. PLOS ONE. 10 (5), e0123727-e0123727
Pradhan, S., Scherer, R., Matsuoka, Y. and Kelly, VE., (2015). Grip Force Modulation Characteristics as a Marker for Clinical Disease Progression in Individuals With Parkinson Disease: Case-Control Study. Physical Therapy. 95 (3), 369-379
Scherer, R., Billinger, M., Wagner, J., Schwarz, A., Hettich, DT., Bolinger, E., Lloria Garcia, M., Navarro, J. and Müller-Putz, G., (2015). Thought-based row-column scanning communication board for individuals with cerebral palsy. Annals of Physical and Rehabilitation Medicine. 58 (1), 14-22
Seeber, M., Scherer, R., Wagner, J., Solis-Escalante, T. and Müller-Putz, GR., (2015). Corrigendum: EEG beta suppression and low gamma modulation are different elements of human upright walking. Frontiers in Human Neuroscience. 9, 542-
Daly, I., Faller, J., Scherer, R., Sweeney-Reed, CM., Nasuto, SJ., Billinger, M. and Müller-Putz, GR., (2014). Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control.. Frontiers in Neuroengineering. 7 (JUL), 20-
Faller, J., Scherer, R., Friedrich, EVC., Costa, U., Opisso, E., Medina, J. and Müller-Putz, GR., (2014). Non motor tasks improve adaptive brain-computer interface performance in users with severe motor impairment. Frontiers in Neuroscience. 8 (OCT), 320-
Faller, J., Scherer, R., Costa, U., Opisso, E., Medina, J. and Müller-Putz, GR., (2014). A Co-Adaptive Brain-Computer Interface for End Users with Severe Motor Impairment. PLoS ONE. 9 (7), e101168-e101168
Seeber, M., Scherer, R., Wagner, J., Solis-Escalante, T. and Müller-Putz, GR., (2014). EEG beta suppression and low gamma modulation are different elements of human upright walking. Frontiers in Human Neuroscience. 8 (JULY), 485-
Wagner, J., Solis-Escalante, T., Scherer, R., Neuper, C. and Müller-Putz, G., (2014). It's how you get there: walking down a virtual alley activates premotor and parietal areas. Frontiers in Human Neuroscience. 8 (1 FEB), 93-
Friedrich, EVC., Wood, G., Scherer, R. and Neuper, C., (2014). Mind over brain, brain over mind: cognitive causes and consequences of controlling brain activity. Frontiers in Human Neuroscience. 8 (MAY), 348-
Daly, I., Billinger, M., Scherer, R. and Muller-Putz, G., (2013). On the Automated Removal of Artifacts Related to Head Movement From the EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21 (3), 427-434
Daly, I., Billinger, M., Laparra-Hernández, J., Aloise, F., García, ML., Faller, J., Scherer, R. and Müller-Putz, G., (2013). On the control of brain-computer interfaces by users with cerebral palsy.. Clinical Neurophysiology. 124 (9), 1787-1797
Scherer, R., Moitzi, G., Daly, I. and Muller-Putz, GR., (2013). On the Use of Games for Noninvasive EEG-Based Functional Brain Mapping. IEEE Transactions on Computational Intelligence and AI in Games. 5 (2), 155-163
Friedrich, EVC., Neuper, C. and Scherer, R., (2013). Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually. PLoS ONE. 8 (9), e76214-e76214
Scherer, R. and Pfurtscheller, G., (2013). Thought-based interaction with the physical world. Trends in Cognitive Sciences. 17 (10), 490-492
Friedrich, EVC., Scherer, R. and Neuper, C., (2013). Long-term evaluation of a 4-class imagery-based brain–computer interface. Clinical Neurophysiology. 124 (5), 916-927
Friedrich, EVC., Scherer, R. and Neuper, C., (2013). Stability of event-related (de-) synchronization during brain–computer interface-relevant mental tasks. Clinical Neurophysiology. 124 (1), 61-69
Stangl, M., Bauernfeind, G., Kurzmann, J., Scherer, R. and Neuper, C., (2013). A Haemodynamic Brain–Computer Interface Based on Real-Time Classification of near Infrared Spectroscopy Signals during Motor Imagery and Mental Arithmetic. Journal of Near Infrared Spectroscopy. 21 (3), 157-171
Scherer, R., Faller, J., Balderas, D., Friedrich, EVC., Pröll, M., Allison, B. and Müller-Putz, G., (2013). Brain–computer interfacing: more than the sum of its parts. Soft Computing. 17 (2), 317-331
Stangl, M., Bauernfeind, G., Kurzmann, J., Scherer, R. and Neuper, C., (2013). A haemodynamic brain-computer interface based on real-time classification of near infrared spectroscopy signals during motor imagery and mental arithmetic. JOURNAL OF NEAR INFRARED SPECTROSCOPY. 21 (3), 157-171
Scherer, R., Faller, J., Solis-Escalante, T., Wagner, J. and Müller-Putz, G., (2013). Brain-Computer Interface research at the Graz University of Technology: Novel concepts in neurorehabilitation. Annals of Physical and Rehabilitation Medicine. 56, e378-e378
Wagner, J., Solis-Escalante, T., Neuper, C., Scherer, R. and Müller-Putz, G., (2013). Robot Assisted Walking Affects the Synchrony Between Premotor and Somatosensory Areas. Biomedical Engineering / Biomedizinische Technik. 58, /j/bmte.2013.58.issue-s1-S/bmt-2013-4434/bmt-2013--
Faller, J., Solis-Escalante, T., Scherer, R. and Müller-Putz, GR., (2013). Automatic Adaptation to Post-Movement Eventrelated Synchronization in a Brain-Computer Interface. Biomedical Engineering / Biomedizinische Technik. 58, /j/bmte.2013.58.issue-s1-S/bmt-2013-4444/bmt-2013--
Scherer, R., Solis-Escalante, T., Faller, J., Wagner, J., Seeber, M. and Müller-Putz, G., (2013). On the use of Non-Invasive Brain-Computer Interface Technology in Neurorehabilitation. Biomedical Engineering / Biomedizinische Technik. 58, /j/bmte.2013.58.issue-s1-S/bmt-2013-4436/bmt-2013--
Billinger, M., Brunner, C., Scherer, R. and Müller-Putz, GR., (2013). Estimating Brain Connectivity from Single-Trial EEG Recordings. Biomedical Engineering / Biomedizinische Technik. 58, /j/bmte.2013.58.issue-s1-S/bmt-2013-4431/bmt-2013--
Seeber, M., Scherer, R., Wagner, J. and Müller-Putz, GR., (2013). Spatial-Spectral Identification Of Μ And Β Eeg Rhythm Sourcrs During Robot-Assisted Walking. Biomedical Engineering / Biomedizinische Technik. 58, /j/bmte.2013.58.issue-s1-S/bmt-2013-4433/bmt-2013--
Daly, I., Pichiorri, F., Faller, J., Kaiser, V., Kreilinger, A., Scherer, R. and Muller-Putz, G., (2012). What does clean EEG look like?. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2012, 3963-3966
Oesterlein, T., Scherer, R. and Müller-Putz, G., (2012). Monocular Head-Mounted SSVEP based Brain-Computer Interface to Retain Situational Awareness. Biomedical Engineering / Biomedizinische Technik. 57 (SI-1 Track-K), 931-931
Cheung, W., Sarma, D., Scherer, R. and Rao, RPN., (2012). Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2012, 6715-6718
Faller, J., Torrellas, S., Miralles, F., Holzner, C., Kapeller, C., Guger, C., Bund, J., Muller-Putz, GR. and Scherer, R., (2012). Prototype of an auto-calibrating, context-aware, hybrid brain-computer interface. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2012, 1827-1830
Friedrich, EVC., Scherer, R. and Neuper, C., (2012). The effect of distinct mental strategies on classification performance for brain–computer interfaces. International Journal of Psychophysiology. 84 (1), 86-94
Wagner, J., Solis-Escalante, T., Grieshofer, P., Neuper, C., Müller-Putz, G. and Scherer, R., (2012). Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able-bodied subjects. NeuroImage. 63 (3), 1203-1211
Faller, J., Vidaurre, C., Solis-Escalante, T., Neuper, C. and 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
(2012). WCNR 2012 Oral Abstracts. Neurorehabilitation and Neural Repair. 26 (6), 654-694
Friedrich, EVC., Scherer, R., Sonnleitner, K. and Neuper, C., (2011). Impact of auditory distraction on user performance in a brain–computer interface driven by different mental tasks. Clinical Neurophysiology. 122 (10), 2003-2009
Bauernfeind, G., Scherer, R., Pfurtscheller, G. and Neuper, C., (2011). Single-trial classification of antagonistic oxyhemoglobin responses during mental arithmetic. Medical & Biological Engineering & Computing. 49 (9), 979-984
Pradhan, SD., Scherer, R., Matsuoka, Y. and Kelly, VE., (2011). Use of sensitive devices to assess the effect of medication on attentional demands of precision and power grips in individuals with Parkinson disease. Medical & Biological Engineering & Computing. 49 (10), 1195-1199
(2011). Handbook of Research on Personal Autonomy Technologies and Disability Informatics
Mueller-Putz, (2010). Temporal coding of brain patterns for direct limb control in humans. Frontiers in Neuroscience. 4 (JUN), 34-
Darvas, F., Scherer, R., Ojemann, JG., Rao, RP., Miller, KJ. and Sorensen, LB., (2010). High gamma mapping using EEG. NeuroImage. 49 (1), 930-938
Pfurtscheller, G., (2010). The hybrid BCI. Frontiers in Neuroscience. 4, 30-
Scherer, R., Zanos, SP., Miller, KJ., Rao, RPN. and Ojemann, JG., (2009). Classification of contralateral and ipsilateral finger movements for electrocorticographic brain-computer interfaces. Neurosurgical Focus. 27 (1), E12-E12
Scherer, R., Müller‐Putz, GR. and Pfurtscheller, G., (2009). Chapter 9 Flexibility and Practicality. International Review of Neurobiology. 86, 119-131
Neuper, C., Scherer, R., Wriessnegger, S. and Pfurtscheller, G., (2009). Motor imagery and action observation: Modulation of sensorimotor brain rhythms during mental control of a brain–computer interface. Clinical Neurophysiology. 120 (2), 239-247
Muller-Putz, GR., Scherer, R., Pfurtscheller, G., Neuper, C. and Rupp, R., (2009). Non-invasive control of neuroprostheses for the upper extremity: Temporal coding of brain patterns. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009, 3353-3356
Scherer, R., Darvas, F., Ojemann, JG., Matsuoka, Y. and Rao, RPN., (2009). Brain-computer interface research at the university of washington:0020Eeg- and ecog-based paradigms. Journal of Cyber Therapy and Rehabilitation. 2 (4), 289-298
Pfurtscheller, G., Scherer, R., Müller‐Putz, GR. and Lopes da Silva, FH., (2008). Short‐lived brain state after cued motor imagery in naive subjects. European Journal of Neuroscience. 28 (7), 1419-1426
Scherer, R., Lee, F., Schlogl, A., Leeb, R., Bischof, H. and Pfurtscheller, G., (2008). Toward Self-Paced Brain–Computer Communication: Navigation Through Virtual Worlds. IEEE Transactions on Biomedical Engineering. 55 (2), 675-682
Pfurtscheller, G., Muller-Putz, GR., Scherer, R. and Neuper, C., (2008). Rehabilitation with Brain-Computer Interface Systems. Computer. 41 (10), 58-65
Leeb, R., Lee, F., Keinrath, C., Scherer, R., Bischof, H. and Pfurtscheller, G., (2008). Correction to "Brain - computer communication: Motivation, aim, and impact of exploring a virtual apartment". IEEE Transactions on Neural Systems and Rehabilitation Engineering. 16 (1), 119-119
Vidaurre, C., Scherer, R., Cabeza, R., Schlögl, A. and Pfurtscheller, G., (2007). Study of discriminant analysis applied to motor imagery bipolar data. Medical & Biological Engineering & Computing. 45 (1), 61-68
Leeb, R., Lee, F., Keinrath, C., Scherer, R., Bischof, H. and Pfurtscheller, G., (2007). Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 15 (4), 473-482
Vidaurre, C., Schlogl, A., Cabeza, R., Scherer, R. and 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
Scherer, R., Müller-Putz, GR. and Pfurtscheller, G., (2007). Self-initiation of EEG-based brain–computer communication using the heart rate response. Journal of Neural Engineering. 4 (4), L23-L29
Leeb, R., Friedman, D., Müller-Putz, GR., Scherer, R., Slater, M. and Pfurtscheller, G., (2007). Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic. Computational Intelligence and Neuroscience. 2007, 1-8
Scherer, R., Schloegl, A., Lee, F., Bischof, H., Janša, J. and Pfurtscheller, G., (2007). The Self-Paced Graz Brain-Computer Interface: Methods and Applications. Computational Intelligence and Neuroscience. 2007, 1-9
Schlögl, A., Keinrath, C., Zimmermann, D., Scherer, R., Leeb, R. and Pfurtscheller, G., (2007). A fully automated correction method of EOG artifacts in EEG recordings. Clinical Neurophysiology. 118 (1), 98-104
Pfurtscheller, G., Scherer, R., Leeb, R., Keinrath, C., Neuper, C., Lee, F. and Bischof, H., (2007). Viewing Moving Objects in Virtual Reality Can Change the Dynamics of Sensorimotor EEG Rhythms. Presence: Teleoperators and Virtual Environments. 16 (1), 111-118
Leeb, R., Lee, F., Keinrath, C., Scherer, R., Bischof, H. and Pfurtscheller, G., (2007). Brain-computer communication: Motivation, aim, and impact of exploring a virtual apartment. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 15 (1), 473-482
Brunner, C., Scherer, R., Graimann, B., Supp, G. and Pfurtscheller, G., (2006). Online Control of a Brain-Computer Interface Using Phase Synchronization. IEEE Transactions on Biomedical Engineering. 53 (12), 2501-2506
Neuper, C., Müller-Putz, GR., Scherer, R. and Pfurtscheller, G., (2006). Motor imagery and EEG-based control of spelling devices and neuroprostheses. Progress in Brain Research. 159, 393-409
Muller-Putz, GR., Scherer, R., Neuper, C. and Pfurtscheller, G., (2006). Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14 (1), 30-37
Cincotti, F., Bianchi, L., Birch, G., Guger, C., Mellinger, J., Scherer, R., Schmidt, RN., Suarez, OY. and Schalk, G., (2006). BCI meeting 2005-workshop on technology: hardware and software. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14 (2), 128-131
Müller-Putz, GR., Scherer, R., Pfurtscheller, G. and Rupp, R., (2006). Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation / Brain-Computer Interfaces zur Steuerung von Neuroprothesen: von der synchronen zur asynchronen Funktionsweise. Biomedizinische Technik/Biomedical Engineering. 51 (2), 57-63
Pfurtscheller, G., Muller-Putz, GR., Schlogl, A., Graimann, B., Scherer, R., Leeb, R., Brunner, C., Keinrath, C., Lee, F., Townsend, G., Vidaurre, C. and 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
Vidaurre, C., Schloogl, A., Cabeza, R., Scherer, R. and Pfurtscheller, G., (2006). A Fully On-Line Adaptive BCI. IEEE Transactions on Biomedical Engineering. 53 (6), 1214-1219
Vidaurre, C., Schlogl, A., Cabeza, R., Scherer, R. and Pfurtscheller, G., (2006). Erratum to “A Fully On-Line Adaptive BCI”. IEEE Transactions on Biomedical Engineering. 53 (8), 1728-1728
Leeb, R., Scherer, R., Keinrath, C., Guger, C. and Pfurtscheller, G., (2005). Exploring Virtual Environments with an EEG-based BCI through Motor Imagery / Erkundung von virtuellen Welten durch Bewegungsvorstellungen mit Hilfe eines EEG-basierten BCI. Biomedizinische Technik/Biomedical Engineering. 50 (4), 86-91
Neuper, C., Scherer, R., Reiner, M. and Pfurtscheller, G., (2005). Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG. Cognitive Brain Research. 25 (3), 668-677
Vidaurre, C., Schlögl, A., Cabeza, R., Scherer, R. and Pfurtscheller, G., (2005). Adaptive On-line Classification for EEG-based Brain Computer Interfaces with AAR parameters and band power estimates / Adaptive On-line Classification einer EEG-basierenden Gehirn-Computer Schnittstelle mit Adaptive Autoregressiven und Bandleistungsparametern. Biomedizinische Technik/Biomedical Engineering. 50 (11), 350-354
Müller-Putz, GR., Scherer, R., Brauneis, C. and Pfurtscheller, G., (2005). Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components. Journal of Neural Engineering. 2 (4), 123-130
Müller-Putz, GR., Scherer, R., Pfurtscheller, G. and Rupp, R., (2005). EEG-based neuroprosthesis control: A step towards clinical practice. Neuroscience Letters. 382 (1-2), 169-174
Scherer, R., Muller, GR., Neuper, C., Graimann, B. and Pfurtscheller, G., (2004). An Asynchronously Controlled EEG-Based Virtual Keyboard: Improvement of the Spelling Rate. IEEE Transactions on Biomedical Engineering. 51 (6), 979-984
Scherer, R., Graimann, B., Huggins, JE., Levine, SR. and Pfurtscheller, G., (2003). Frequency Component Selection for an ECoG-based Brain-Computer Interface. Auswahl von Frequenzkomponenten aus ECoG-Signalen zur Steuerung eines Brain Computer Interface. Biomedizinische Technik/Biomedical Engineering. 48 (1-2), 31-36
Pfurtscheller, G., Neuper, C., Muller, GR., Obermaier, B., Krausz, G., Schlogl, A., Scherer, R., Graimann, B., Keinrath, C., Skliris, D., Wortz, M., Supp, G. and Schrank, C., (2003). Graz-BCI: state of the art and clinical applications. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11 (2), 1-4
Krausz, G., Scherer, R., Korisek, G. and Pfurtscheller, G., (2003). Critical decision-speed and information transfer in the "Graz Brain-Computer Interface". Applied Psychophysiology and Biofeedback. 28 (3), 233-240
Scherer, R., Müller, GR., Neuper, C., Graimann, B. and Pfurtscheller, G., (2003). ASYNCHRONOUS CONTROLLED EEG-BASED SPELLING DEVICE. Biomedical Engineering / Biomedizinische Technik. 48 (s1), 302-303
Books (1)
(2013). Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. Springer Berlin Heidelberg. 9783642391453
Book chapters (12)
Scherer, R. and Vidaurre, C., (2018). Motor imagery based brain–computer interfaces. In: Smart Wheelchairs and Brain-Computer Interfaces. Elsevier. 171- 195. 9780128128930
Jeunet, C., Debener, S., Lotte, F., Mattout, J., Scherer, R. and Zich, C., (2018). Mind the Traps! Design Guidelines for Rigorous BCI Experiments. In: Brain–Computer Interfaces Handbook. CRC Press. 613- 634. 9780367375454
Kober, SE., Ninaus, M., Friedrich, EVC. and Scherer, R., (2018). BCI and Games: Playful, Experience-Oriented Learning by Vivid Feedback?. In: Brain–Computer Interfaces Handbook. CRC Press. 209- 234. 9780367375454
Scherer, R., Feitl, S., Schlesinger, M. and Wriessnegger, SC., (2017). Towards a General-Purpose Mobile Brain-Body Imaging NeuroIS Testbed. In: Information Systems and Neuroscience. Springer International Publishing. 133- 140. 9783319414010
Müller-Putz, GR., Solis-Escalante, T., Wagner, J., Faller, J., Kaiser, V., Ofner, P. and Scherer, R., (2013). Towards Restoration and Rehabilitation of Motor Functions with the Help of Brain-Computer Interfaces. In: Biosystems & Biorobotics. Springer Berlin Heidelberg. 1265- 1269. 9783642345456
Silva, H., Scherer, R., Sousa, J. and Londral, A., (2013). Towards Improving the Usability of Electromyographic Interfaces. In: Biosystems & Biorobotics. Springer Berlin Heidelberg. 437- 441. 9783642345456
Scherer, R. and Rao, R., (2011). Non-Manual Control Devices. In: Handbook of Research on Personal Autonomy Technologies and Disability Informatics. IGI Global. 233- 250. 9781605662060
Rao, RPN. and Scherer, R., (2010). Statistical Pattern Recognition and Machine Learning in Brain–Computer Interfaces. In: Statistical Signal Processing for Neuroscience and Neurotechnology. Elsevier. 335- 367. 9780123750273
Scherer, R., Mueller-Putz, GR. and Pfurtscheller, G., (2009). FLEXIBILITY AND PRACTICALITY: GRAZ BRAIN-COMPUTER INTERFACE APPROACH. In: BRAIN MACHINE INTERFACES FOR SPACE APPLICATIONS: ENHANCING ASTRONAUT CAPABILITIES. 119- 131. 978-0-12-374821-8
Pfurtscheller, G., Brunner, C., Leeb, R., Scherer, R., Müller-Putz, GR. and Neuper, C., (2009). The Graz Brain-Computer Interface. In: Brain-Computer Interfaces. Springer Berlin Heidelberg. 79- 96. 9783642020902
Müller-Putz, GR., Scherer, R., Pfurtscheller, G. and Rupp, R., (2009). Non Invasive BCIs for Neuroprostheses Control of the Paralysed Hand. In: Brain-Computer Interfaces. Springer Berlin Heidelberg. 171- 184. 9783642020902
Pfurtscheller, G., Scherer, R. and Neuper, C., (2006). EEG-Based Brain-Computer Interface. In: Neuroergonomics. Oxford University Press. 315- 328. 0195177614. 9780195177619
Conferences (50)
Daly, I., Aloise, F., Arico, P., Belda, J., Billinger, M., Bolinger, E., Cincotti, F., Hettich, D., Iosa, M., Laparra-Hernandez, J., Scherer, R. and Mueller-Putz, G., Rapid prototyping for hBCI users with Cerebral palsy
Armani, F., Daly, I., Vernitski, A., Gillmeister, H. and Scherer, R., (2023). Maths Anxiety and cognitive state monitoring for neuroadaptive learning systems using electroencephalography
Massetti, N., Granzotto, A., Bomba, M., Pizzi, SD., Mosca, A., Scherer, R., Onofrj, M. and Sensi, S., (2021). A machine learning-based holistic and age-dependent approach for the diagnosis within the Alzheimer's disease spectrum
Lopes-Dias, C., Si-Mohammed, H., Duarte, M., Argelaguet, F., Jeunet, C., Casiez, G., Müller-Putz, GR., Lécuyer, A. and Scherer, R., (2020). Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials
Si-Mohammed, H., Lopes-Dias, C., Duarte, M., Argelaguet, F., Jeunet, C., Casiez, G., Muller-Putz, GR., Lecuyer, A. and Scherer, R., (2020). Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials
Lan, Z., Sourina, O., Wang, L., Liu, Y., Scherer, R. and Muller-Putz, GR., (2018). Stable Feature Selection for EEG-based Emotion Recognition
Cunha, JD. and Scherer, R., (2018). Are Online Co-adaptive Sensorimotor Rhythm Brain-Computer Interface Training Paradigms Effective?
(2018). Cognitive Human-Machine Interaction Track Co-Chairs Message
Scherer, R., Faller, J., Sajda, P. and Vidaurre, C., (2018). EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success?
Lan, Z., Sourina, O., Wang, L., Scherer, R. and Muller-Putz, G., (2017). Unsupervised Feature Learning for EEG-based Emotion Recognition
Zirui Lan, Muller-Putz, GR., Lipo Wang, Yisi Liu, Sourina, O. and Scherer, R., (2016). Using Support Vector Regression to estimate valence level from EEG
Scherer, R., Schwarz, A., Muller-Putz, GR., Pammer-Schindler, V. and Garcia, ML., (2016). Lets play Tic-Tac-Toe: A Brain-Computer Interface case study in cerebral palsy
Kobler, RJ. and Scherer, R., (2016). Restricted Boltzmann Machines in Sensory Motor Rhythm Brain-Computer Interfacing: A study on inter-subject transfer and co-adaptation
Hehenberger, L., Seeber, M. and Scherer, R., (2016). Estimation of gait parameters from EEG source oscillations
Scherer, R., Schwarz, A., Muller-Putz, GR., Pammer-Schindler, V. and Garcia, ML., (2015). Game-Based BCI Training: Interactive Design for Individuals with Cerebral Palsy
Pammer, V., Simon, J., Wilding, K., Keller, S. and Scherer, R., (2015). Designing for Engaging BCI Training
Scherer, R., Faller, J., Opisso, E., Costa, U., Steyrl, D. and Muller-Putz, GR., (2015). Bring mental activity into action! An enhanced online co-adaptive brain-computer interface training protocol
Schwarz, A., Scherer, R., Steyrl, D., Faller, J. and Muller-Putz, GR., (2015). A co-adaptive sensory motor rhythms Brain-Computer Interface based on common spatial patterns and Random Forest
Daly, I., Scherer, R. and Müller-Putz, G., (2013). A Population Search Algorithm for Clustered Multivariate Solutions: Application to EEG Connectivity
Daly, I., Billinger, M., Scherer, R. and Müller-Putz, G., (2013). Brain-Computer Interfacing for Users with Cerebral Palsy, Challenges and Opportunities
Faller, J., Solis-Escalante, T., Costa, U., Opisso, E., Medina, J., Scherer, R. and Muller-Putz, GR., (2013). Online co-adaptive brain-computer interfacing: Preliminary results in individuals with spinal cord injury
Faller, J., Solis-Escalante, T., Wriessnegger, S., Scherer, R. and Muller-Putz, GR., (2013). Automatic adaptation to the beta rebound after brisk movement imagery in a brain-computer interface
Helic, D., Strohmaier, M., Granitzer, M. and Scherer, R., (2013). Models of human navigation in information networks based on decentralized search
Steyrl, D., Scherer, R. and Müller-Putz, GR., (2013). Random Forests for Feature Selection in Non-invasive Brain-Computer Interfacing
Hettich, DT., Bolinger, EM., Scherer, R., Mueller-Putz, GR., Birbaumer, N., Rosenstiel, W., Bogdan, M. and Matuz, T., (2013). ELECTROPHYSIOLOGICAL MARKERS OF EMOTION PROCESSING IN CEREBRAL PALSY: TOWARDS A CLINICAL AFFECTIVE BRAIN-COMPUTER INTERFACE
Nachbagauer, G., Schosteritsch, P., Reiter, T., Scherer, R., Cik, M. and Fellendorf, M., (2012). Traffic analysis using cellular network data
Scherer, R., Wagner, J., Moitzi, G. and Muller-Putz, G., (2012). Kinect-based detection of self-paced hand movements: Enhancing functional brain mapping paradigms
(2012). Prototype of an auto-calibrating, context-aware, hybrid brain-computer interface.
Billinger, M., Brunner, C., Scherer, R., Holzinger, A. and Müller-Putz, GR., (2012). Towards a Framework Based on Single Trial Connectivity for Enhancing Knowledge Discovery in BCI
Holzinger, A., Scherer, R., Seeber, M., Wagner, J. and Müller-Putz, G., (2012). Computational Sensemaking on Examples of Knowledge Discovery from Neuroscience Data: Towards Enhancing Stroke Rehabilitation
Scherer, R., Proll, M., Allison, B. and Muller-Putz, GR., (2012). New input modalities for modern game design and virtual embodiment
Chung, M., Cheung, W., Scherer, R. and Rao, RPN., (2011). A hierarchical architecture for adaptive brain-computer interfacing
Bryan, M., Green, J., Chung, M., Chang, L., Scherer, R., Smith, J. and Rao, RPN., (2011). An adaptive brain-computer interface for humanoid robot control
Chung, M., Cheung, W., Scherer, R. and Rao, RPN., (2011). Towards hierarchical BCIs for robotic control
Scherer, R., Friedrich, ECV., Allison, B., Pröll, M., Chung, M., Cheung, W., Rao, RPN. and Neuper, C., (2011). Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control
Zander, TO., Klippel, MD. and Scherer, R., (2011). Towards multimodal error responses
Navarro, AA., Ceccaroni, L., Velickovski, F., Torrellas, S., Miralles, F., Allison, BZ., Scherer, R. and Faller, J., (2011). Context-Awareness as an Enhancement of Brain-Computer Interfaces
Holzinger, A., Scherer, R. and Ziefle, M., (2011). Navigational User Interface Elements on the Left Side: Intuition of Designers or Experimental Evidence?
Rao, R. and Scherer, R., (2010). Brain-Computer Interfacing [In the Spotlight
Scherer, R., Pradhan, S., Dellon, B., Kim, D., Klatzky, R. and Matsuoka, Y., (2009). Characterization of multi-finger twist motion toward robotic rehabilitation
Scherer, R., Pradhan, S., Dellon, B., Kim, D., Klatzky, R., Matsuoka, Y. and IEEE, (2009). Characterization of multi-finger twist motion toward robotic rehabilitation
Schlögl, A., Vidaurre, C., Hofer, E., Wiener, T., Brunner, C., Scherer, R. and Chiarugi, F., (2008). BIOSIG - Standardization and quality control in biomedical signal processing using the BioSig project
Müller-Putz, GR., Scherer, R. and Pfurtscheller, G., (2007). Control of a two-axis artificial limb by means of a pulse width modulated brain switch
Leeb, R., Keinrath, C., Friedman, D., Guger, C., Scherer, R., Neuper, C., Garau, M., Antley, A., Steed, A., Slater, M. and Pfurtscheller, G., (2006). Walking by Thinking: The Brainwaves Are Crucial, Not the Muscles!
Grieshofer, P., Kollreider, A. and Scherer, R., (2006). The Lokomat as a possibility in the rehabilitation of patients with neurological disorders. Results after three years of clinical practice
Grieshofer, P., Scherer, R., Kollreider, A. and Scarpatetti, M., (2006). Robotic in hand rehabilitation - an innovation in hand therapy
Lahrmann, H., Neuper, C., Muller, GR., Scherer, R. and Pfurtscheller, G., (2005). Usefulness of an EEG-based brain-computer interface to establish communication in ALS
Grieshofer, P., Scherer, R. and Peichl, M., (2005). "Robotic in hand rehabilitation" Am innovation in hand therapy
Schlogl, A., Keinrath, C., Scherer, R. and Furtscheller, P., (2003). Information transfer of an EEG-based brain computer interface
Pfurtscheller, G., Neuper, C., Muller, GR., Obermaier, B., Krausz, G., Schlogl, A., Scherer, R., Graimann, B., Keinrath, C., Skliris, D., Wortz, M., Supp, G. and Schrank, C., (2003). Graz-BCI: State of the art and clinical applications
Grants and funding
2023
Systems Engineering Innovation hubs for Multiple long-term Conditions (SEISMIC)
National Institute for Health Research
2021
Study of Functional Electrical Stimulation with assistive support driven by a Brain-Computer Interface on the upper limb rehabilitation of chronic stroke patients.
Ospedale di Vipiteno
Exploring the Decision-Making of Video Assistant Referees (VAR) in Football
Union of European Football Associations
