2020 applicants
People

Dr Sebastian Halder

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Sebastian Halder

Profile

Biography

I received my MSc degree in Bioinformatics from the University of Tübingen, Germany in 2006 and my PhD in Computer Science from the same institution in 2011. From 2002 to 2006 as a student and from 2006 to 2012 I worked in the group of Prof. Niels Birbaumer in particular on brain-computer interfaces (BCIs) for communication with persons with severe motor impairments. During this time I worked on the online processing of electroencephalography (EEG) data, the design of new communication paradigms and the analysis of electrocorticography (ECoG) and functional magnetic resonance data (fMRI) with a focus on clinical applications. Since then I have held positions at the University of Würzburg in Germany (Prof. Dr. Andrea Kübler), the National Rehabilitation Center for Persons with Disabilities in Japan (Prof. Dr. Kenji Kansaku) and the University of Oslo in Norway (Prof. Dr. Johan F. Storm). My research interests include auditory BCIs for communication, the neural mechanisms of learning with BCIs, the neural signature of pain and disorders of consciousness. Currently I am Lecturer in Brain-Computer Interfacing at the University of Essex, UK.

Qualifications

  • PhD University of Tübingen,

  • MSc Bioinformatics University of Tübingen,

Appointments

University of Essex

  • Lecturer, University of Essex (7/1/2019 - present)

Research and professional activities

Research interests

Brain-Computer Interfaces

Key words: EEG
Open to supervise

Consciousness

Key words: EEG
Open to supervise

Pain

Key words: EEG
Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Data Structures and Algorithms (CE204)

  • Team Project Challenge (CE101)

  • Object-Oriented Programming (CE152)

Publications

Journal articles (42)

Halder, S., Leinfelder, T., Schulz, SM. and Kübler, A., (2019). Neural mechanisms of training an auditory event-related potential task in a brain-computer interface context. Human Brain Mapping. 40 (8), 2399-2412

Halder, S., Takano, K. and Kansaku, K., (2018). Comparison of Four Control Methods for a Five-Choice Assistive Technology. Frontiers in Human Neuroscience. 12, 228-

Hammer, EM., Halder, S., Kleih, SC. and Kübler, A., (2018). Psychological Predictors of Visual and Auditory P300 Brain-Computer Interface Performance. Frontiers in Neuroscience. 12 (MAY), 307-

Käthner, I., Halder, S., Hintermüller, C., Espinosa, A., Guger, C., Miralles, F., Vargiu, E., Dauwalder, S., Rafael-Palou, X., Solà, M., Daly, JM., Armstrong, E., Martin, S. and Kübler, A., (2017). A multifunctional brain-computer interface intended for home use: An evaluation with healthy participants and potential end users with dry and gel-based electrodes. Frontiers in Neuroscience. 11 (MAY), 286-

Halder, S., Takano, K., Ora, H., Onishi, A., Utsumi, K. and Kansaku, K., (2016). An evaluation of training with an auditory P300 brain-computer interface for the Japanese Hiragana syllabary. Frontiers in Neuroscience. 10 (SEP), 446-

Baykara, E., Ruf, CA., Fioravanti, C., Käthner, I., Simon, N., Kleih, SC., Kübler, A. and Halder, S., (2016). Effects of training and motivation on auditory P300 brain–computer interface performance. Clinical Neurophysiology. 127 (1), 379-387

Halder, S., Käthner, I. and Kübler, A., (2016). Training leads to increased auditory brain–computer interface performance of end-users with motor impairments. Clinical Neurophysiology. 127 (2), 1288-1296

Käthner, I., Kübler, A. and Halder, S., (2015). Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant in the locked-in state. Journal of NeuroEngineering and Rehabilitation. 12 (1), 76-

Pasqualotto, E., Matuz, T., Federici, S., Ruf, CA., Bartl, M., Olivetti Belardinelli, M., Birbaumer, N. and Halder, S., (2015). Usability and Workload of Access Technology for People With Severe Motor Impairment. Neurorehabilitation and Neural Repair. 29 (10), 950-957

Käthner, I., Kübler, A. and Halder, S., (2015). Rapid P300 brain-computer interface communication with a head-mounted display. Frontiers in Neuroscience. 9 (MAY), 207-

Halder, S., Pinegger, A., Käthner, I., Wriessnegger, SC., Faller, J., Pires Antunes, JB., Müller-Putz, GR. and Kübler, A., (2015). Brain-controlled applications using dynamic P300 speller matrices. Artificial Intelligence in Medicine. 63 (1), 7-17

Simon, N., Käthner, I., Ruf, CA., Pasqualotto, E., Kübler, A. and Halder, S., (2015). An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user. Frontiers in Human Neuroscience. 8 (JAN), 1039-

Pinegger, A., Faller, J., Halder, S., Wriessnegger, SC. and Müller-Putz, GR., (2015). Control or non-control state: that is the question! An asynchronous visual P300-based BCI approach. Journal of Neural Engineering. 12 (1), 014001-014001

Miralles, F., Vargiu, E., Dauwalder, S., Solà, M., Müller-Putz, G., Wriessnegger, SC., Pinegger, A., Kübler, A., Halder, S., Käthner, I., Martin, S., Daly, J., Armstrong, E., Guger, C., Hintermüller, C. and Lowish, H., (2015). Brain Computer Interface on Track to Home. The Scientific World Journal. 2015, 1-17

Martens, S., Bensch, M., Halder, S., Hill, J., Nijboer, F., Ramos-Murguialday, A., Schoelkopf, B., Birbaumer, N. and Gharabaghi, A., (2014). Epidural electrocorticography for monitoring of arousal in locked-in state. Frontiers in Human Neuroscience. 8 (OCT), 861-

Käthner, I., Wriessnegger, SC., Müller-Putz, GR., Kübler, A. and Halder, S., (2014). Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface. Biological Psychology. 102 (1), 118-129

Bensch, M., Martens, S., Halder, S., Hill, J., Nijboer, F., Ramos, A., Birbaumer, N., Bogdan, M., Kotchoubey, B., Rosenstiel, W., Schölkopf, B. and Gharabaghi, A., (2014). Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography. Journal of Neural Engineering. 11 (2), 026006-026006

Halder, S., Ruf, CA., Furdea, A., Pasqualotto, E., De Massari, D., van der Heiden, L., Bogdan, M., Rosenstiel, W., Birbaumer, N., Kübler, A. and Matuz, T., (2013). Prediction of P300 BCI Aptitude in Severe Motor Impairment. PLoS ONE. 8 (10), e76148-e76148

Zickler, C., Halder, S., Kleih, SC., Herbert, C. and Kübler, A., (2013). Brain Painting: Usability testing according to the user-centered design in end users with severe motor paralysis. Artificial Intelligence in Medicine. 59 (2), 99-110

Soekadar, SR., Born, J., Birbaumer, N., Bensch, M., Halder, S., Murguialday, AR., Gharabaghi, A., Nijboer, F., Schölkopf, B. and Martens, S., (2013). Fragmentation of Slow Wave Sleep after Onset of Complete Locked-In State. Journal of Clinical Sleep Medicine. 09 (09), 951-953

De Massari, D., Ruf, CA., Furdea, A., Matuz, T., van der Heiden, L., Halder, S., Silvoni, S. and Birbaumer, N., (2013). Brain communication in the locked-in state. Brain. 136 (6), 1989-2000

Halder, S., Varkuti, B., Bogdan, M., Kübler, A., Rosenstiel, W., Sitaram, R. and Birbaumer, N., (2013). Prediction of brain-computer interface aptitude from individual brain structure. Frontiers in Human Neuroscience. 7 (APR 2013), 105-

Halder, S., Hammer, EM., Kleih, SC., Bogdan, M., Rosenstiel, W., Birbaumer, N. and Kübler, A., (2013). Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude. PLoS ONE. 8 (2), e53513-e53513

Ruf, CA., De Massari, D., Furdea, A., Matuz, T., Fioravanti, C., van der Heiden, L., Halder, S. and Birbaumer, N., (2013). Semantic Classical Conditioning and Brain-Computer Interface Control: Encoding of Affirmative and Negative Thinking. Frontiers in Neuroscience. 7 (7 MAR), 23-

De Massari, D., Matuz, T., Furdea, A., Ruf, CA., Halder, S. and Birbaumer, N., (2013). Brain–computer interface and semantic classical conditioning of communication in paralysis. Biological Psychology. 92 (2), 267-274

Käthner, I., Ruf, CA., Pasqualotto, E., Braun, C., Birbaumer, N. and Halder, S., (2013). A portable auditory P300 brain–computer interface with directional cues. Clinical Neurophysiology. 124 (2), 327-338

Lulé, D., Noirhomme, Q., Kleih, SC., Chatelle, C., Halder, S., Demertzi, A., Bruno, M-A., Gosseries, O., Vanhaudenhuyse, A., Schnakers, C., Thonnard, M., Soddu, A., Kübler, A. and Laureys, S., (2013). Probing command following in patients with disorders of consciousness using a brain–computer interface. Clinical Neurophysiology. 124 (1), 101-106

Ramos-Murguialday, A., Schürholz, M., Caggiano, V., Wildgruber, M., Caria, A., Hammer, EM., Halder, S. and Birbaumer, N., (2012). Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses. PLoS ONE. 7 (10), e47048-e47048

Hammer, EM., Halder, S., Blankertz, B., Sannelli, C., Dickhaus, T., Kleih, S., Müller, K-R. and Kübler, A., (2012). Psychological predictors of SMR-BCI performance. Biological Psychology. 89 (1), 80-86

Furdea, A., Ruf, CA., Halder, S., De Massari, D., Bogdan, M., Rosenstiel, W., Matuz, T. and Birbaumer, N., (2012). A new (semantic) reflexive brain–computer interface: In search for a suitable classifier. Journal of Neuroscience Methods. 203 (1), 233-240

Zickler, C., Riccio, A., Leotta, F., Hillian-Tress, S., Halder, S., Holz, E., Staiger-Sälzer, P., Hoogerwerf, E-J., Desideri, L., Mattia, D. and Kübler, A., (2011). A Brain-Computer Interface as Input Channel for a Standard Assistive Technology Software. Clinical EEG and Neuroscience. 42 (4), 236-244

Murguialday, AR., Hill, J., Bensch, M., Martens, S., Halder, S., Nijboer, F., Schoelkopf, B., Birbaumer, N. and Gharabaghi, A., (2011). Transition from the locked in to the completely locked-in state: A physiological analysis. Clinical Neurophysiology. 122 (5), 925-933

Halder, S., Agorastos, D., Veit, R., Hammer, EM., Lee, S., Varkuti, B., Bogdan, M., Rosenstiel, W., Birbaumer, N. and Kübler, A., (2011). Neural mechanisms of brain–computer interface control. NeuroImage. 55 (4), 1779-1790

Münßinger, JI., Halder, S., Kleih, SC., Furdea, A., Raco, V., Hösle, A. and Kübler, A., (2010). Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy Volunteers. Frontiers in Neuroscience. 4 (NOV), 182-

Mugler, EM., Ruf, CA., Halder, S., Bensch, M. and Kubler, A., (2010). Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 18 (6), 599-609

Lee, S., Halder, S., Kübler, A., Birbaumer, N. and Sitaram, R., (2010). Effective functional mapping of fMRI data with support-vector machines. Human Brain Mapping. 31 (10), 1502-1511

Kleih, SC., Nijboer, F., Halder, S. and Kübler, A., (2010). Motivation modulates the P300 amplitude during brain–computer interface use. Clinical Neurophysiology. 121 (7), 1023-1031

Blankertz, B., Sannelli, C., Halder, S., Hammer, EM., Kübler, A., Müller, K-R., Curio, G. and Dickhaus, T., (2010). Neurophysiological predictor of SMR-based BCI performance. NeuroImage. 51 (4), 1303-1309

Halder, S., Rea, M., Andreoni, R., Nijboer, F., Hammer, EM., Kleih, SC., Birbaumer, N. and Kübler, A., (2010). An auditory oddball brain–computer interface for binary choices. Clinical Neurophysiology. 121 (4), 516-523

Furdea, A., Halder, S., Krusienski, DJ., Bross, D., Nijboer, F., Birbaumer, N. and Kübler, A., (2009). An auditory oddball (P300) spelling system for brain-computer interfaces. Psychophysiology. 46 (3), 617-625

Nijboer, F., Sellers, EW., Mellinger, J., Jordan, MA., Matuz, T., Furdea, A., Halder, S., Mochty, U., Krusienski, DJ., Vaughan, TM., Wolpaw, JR., Birbaumer, N. and Kübler, A., (2008). A P300-based brain–computer interface for people with amyotrophic lateral sclerosis. Clinical Neurophysiology. 119 (8), 1909-1916

Halder, S., Bensch, M., Mellinger, J., Bogdan, M., Kübler, A., Birbaumer, N. and Rosenstiel, W., (2007). Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation. Computational Intelligence and Neuroscience. 2007, 1-10

Book chapters (1)

Kleih, SC., Kaufmann, T., Zickler, C., Halder, S., Leotta, F., Cincotti, F., Aloise, F., Riccio, A., Herbert, C., Mattia, D. and Kübler, A., (2011). Out of the frying pan into the fire—the P300-based BCI faces real-world challenges. In: Brain Machine Interfaces: Implications for Science, Clinical Practice and Society. Elsevier. 27- 46. 9780444538154

Conferences (14)

Ziebell, P., Stuempfig, J., Kleih, S., Kuebler, A. and Halder, S., (2017). EFFECTS OF TRAINING ON PERFORMANCE IN A STREAMING-BASED P300 BRAIN-COMPUTER INTERFACE PARADIGM WITH AUDITORY AND TACTILE STIMULATION

Hintermüller, C., Vargiu, E., Halder, S., Daly, J., Miralles, F., Lowish, H., Anderson, N., Martin, S. and Edlinger, G., (2015). Brain Neural Computer Interface for Everyday Home Usage

Victorino, J., Noirhomme, Q., Lule, D., Kleih, SC., Chatelle, C., Halder, S., Demertzi, A., Bruno, M-A., Gosseries, O., Vanhaudenhuyse, A., Schnakers, C., Thonnard, M., Soddu, A., Kubler, A., Laureys, S. and Gomez, F., (2015). Improving EEG-BCI analysis for low certainty subjects by using dictionary learning

Pinegger, A., Deckert, L., Halder, S., Barry, N., Faller, J., Kathner, I., Hintermuller, C., Wriessnegger, S., Kubler, A. and Muller-Putz, GR., (2014). Write, read and answer emails with a dry ‘n’ wireless brain-computer interface system

Kaethner, I., Halder, S., Wriessnegger, SC., Mueller-Putz, GR. and Kuebler, A., (2013). Effects of mental workload during operation of a visual P300 brain-computer interface

Sannelli, C., Dickhaus, T., Halder, S., Hammer, E-M., Müller, K-R. and Blankertz, B., (2010). On Optimal Channel Configurations for SMR-based Brain–Computer Interfaces

Ramos, A., Soares, ES., Agostini, M., Broetz, D., Benkner, B., Rea, M., Halder, S., Caria, A., Soekader, S. and Birbaumer, N., (2009). AFFERENT FEEDBACK INFLUENCES FOR AN ON-LINE BCI FOR STROKE REHABILITATION

Kleih, SC., Halder, S., Furdea, A., Kotchoubey, B. and Kuebler, A., (2009). THE EFFECT OF MOTIVATION IN BCI PERFORMANCE

Halder, S., Hammer, E-M., Kleih, SC. and Kuebler, A., (2009). P300 BCI PERFORMANCE PREDICTION USING AN AUDITORY STANDARD ODDBALL

Kübler, A., Furdea, A., Halder, S., Hammer, EM., Nijboer, F. and Kotchoubey, B., (2009). A Brain-Computer Interface Controlled Auditory Event-Related Potential (P300) Spelling System for Locked-In Patients

Ramos, A., Halder, S. and Birbaumer, N., (2009). Proprioceptive feedback in BCI

Ramos, A., Halder, S., Birbaumer, N. and IEEE, (2009). Proprioceptive Feedback in BCI

Ruf, C., Mugler, E., Halder, S., Bensch, M. and Kuebler, A., (2009). THE P300-BRAIN-COMPUTER INTERFACE BROWSER: A MUSCLE-INDEPENDENT SURFING TOOL FOR PARALYZED PEOPLE

Kuebler, A., Nijboer, F., Furdea, A., Halder, S. and Birbaumer, N., (2008). Brain-computer interfaces in the locked-in syndrome

Reports and Papers (1)

Valentini, E., Halder, S., McInnersey, D., Cooke, J. and Romei, V., (2019). Assessing the specificity of the relationship between brain alpha oscillations and tonic pain

Contact

s.halder@essex.ac.uk
+44 (0) 1206 872906

Location:

1NW.3.12, Colchester Campus

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