Gerwin Schalk mostly deals with Brain–computer interface, Electroencephalography, Speech recognition, Neuroscience and Artificial intelligence. His Brain–computer interface study incorporates themes from Control system, Physical medicine and rehabilitation, Human–computer interaction, Electrocorticography and Brain activity and meditation. He interconnects Gaze, Motor cortex, Control option, Sensorimotor cortex and Brain mapping in the investigation of issues within Electroencephalography.
His study in Speech recognition is interdisciplinary in nature, drawing from both Beta Rhythm and Neurocomputational speech processing. His Primary motor cortex, Sensorimotor rhythm and Cortical surface study in the realm of Neuroscience interacts with subjects such as Quality of life and Focus. His biological study spans a wide range of topics, including Cued speech, Motor theory of speech perception and Natural language processing.
Brain–computer interface, Neuroscience, Speech recognition, Artificial intelligence and Electrocorticography are his primary areas of study. His Brain–computer interface study is concerned with Electroencephalography in general. His Electroencephalography research is multidisciplinary, relying on both Signal and Surgery.
His Speech recognition research includes themes of Stimulus, Superior temporal gyrus and Imagined speech. His Artificial intelligence study combines topics from a wide range of disciplines, such as Natural language processing, Machine learning, Computer vision and Pattern recognition. The various areas that Gerwin Schalk examines in his Electrocorticography study include Event-related potential, Functional mapping, Functional magnetic resonance imaging, Cortex and Sensorimotor cortex.
His main research concerns Neuroscience, Artificial intelligence, Electrocorticography, Stimulus and Speech recognition. His work on Human brain, Functional mapping, Stimulation and Cortical surface as part of his general Neuroscience study is frequently connected to Language function, thereby bridging the divide between different branches of science. His study in the fields of Visualization under the domain of Artificial intelligence overlaps with other disciplines such as Toolbox.
His research in Electrocorticography intersects with topics in Neurophysiology, Orbitofrontal cortex and Event-related potential. His work carried out in the field of Speech recognition brings together such families of science as Imagined speech, Brain–computer interface, Superior temporal gyrus and Natural language processing. In his papers, Gerwin Schalk integrates diverse fields, such as Brain–computer interface and Home use.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Neuroscience, Stimulus and White matter. Gerwin Schalk mostly deals with Semantics in his studies of Artificial intelligence. His work in the fields of Neuroscience, such as Brain mapping, Orbitofrontal cortex and Event-related potential, intersects with other areas such as Economic decision making and Decision process.
His Brain mapping study combines topics in areas such as Eloquent cortex and Electric stimulation. The concepts of his Stimulus study are interwoven with issues in Visual perception, Temporal cortex and Neuroimaging. His White matter study incorporates themes from Signal, Entire brain, Stereoelectroencephalography and Sample.
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BCI2000: a general-purpose brain-computer interface (BCI) system
G. Schalk;D.J. McFarland;T. Hinterberger;N. Birbaumer.
IEEE Transactions on Biomedical Engineering (2004)
Brain-computer interface technology: a review of the first international meeting
J.R. Wolpaw;N. Birbaumer;W.J. Heetderks;D.J. McFarland.
international conference of the ieee engineering in medicine and biology society (2000)
A brain-computer interface using electrocorticographic signals in humans.
Eric C Leuthardt;Gerwin Schalk;Jonathan R Wolpaw;Jonathan R Wolpaw;Jeffrey G Ojemann.
Journal of Neural Engineering (2004)
The BCI competition III: validating alternative approaches to actual BCI problems
B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk.
international conference of the ieee engineering in medicine and biology society (2006)
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
B. Blankertz;K.-R. Muller;G. Curio;T.M. Vaughan.
IEEE Transactions on Biomedical Engineering (2004)
Spectral changes in cortical surface potentials during motor movement.
Kai J. Miller;Eric C. Leuthardt;Gerwin Schalk;Rajesh P. N. Rao.
The Journal of Neuroscience (2007)
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.
A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan.
Review of the BCI Competition IV
Michael Tangermann;Klaus Robert Müller;Ad Aertsen;Niels Birbaumer.
Frontiers in Neuroscience (2012)
Two-dimensional movement control using electrocorticographic signals in humans
G. Schalk;G. Schalk;G. Schalk;K. J. Miller;N. R. Anderson;J. A. Wilson.
Journal of Neural Engineering (2008)
Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.
G Schalk;J Kubánek;K J Miller;N R Anderson.
Journal of Neural Engineering (2007)
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