His scientific interests lie mostly in Brain–computer interface, Electroencephalography, Neuroscience, Speech recognition and Human–computer interaction. His study in Brain–computer interface is interdisciplinary in nature, drawing from both Communication, Event-related potential and Artificial intelligence. His Electroencephalography research includes elements of Physical medicine and rehabilitation, Audiology, Rhythm, Sensorimotor cortex and Brain mapping.
His work on Brain activity and meditation, Motor skill and Rehabilitation as part of general Neuroscience research is often related to Corticospinal tract and Decoding methods, thus linking different fields of science. His research in Human–computer interaction intersects with topics in The Internet, Communication Aids for Disabled, Output device and Neuroprosthetics. While working in this field, Jonathan R. Wolpaw studies both Neuroprosthetics and Identification.
His primary areas of investigation include Neuroscience, Brain–computer interface, Spinal cord, Electroencephalography and H-reflex. His study in the field of Stretch reflex, Reflex, Electromyography and Central nervous system is also linked to topics like Operant conditioning. His Brain–computer interface study integrates concerns from other disciplines, such as Communication, Speech recognition, Human–computer interaction, Artificial intelligence and Neuroprosthetics.
His study on Spinal cord injury is often connected to Corticospinal tract as part of broader study in Spinal cord. Jonathan R. Wolpaw has included themes like Sensorimotor cortex, Rhythm and Audiology in his Electroencephalography study. He combines subjects such as Motor control and Anatomy with his study of H-reflex.
His primary scientific interests are in Brain–computer interface, Neuroscience, Spinal cord, H-reflex and Spinal cord injury. The study incorporates disciplines such as Amyotrophic lateral sclerosis and Human–computer interaction in addition to Brain–computer interface. His work on Neuroplasticity, Interneuron and GABAergic is typically connected to Operant conditioning and Key features as part of general Neuroscience study, connecting several disciplines of science.
The various areas that Jonathan R. Wolpaw examines in his Spinal cord study include Motor cortex, Endocrinology, Stimulation and Brain stimulation. Jonathan R. Wolpaw interconnects Cerebellum, Motor control and Motor learning in the investigation of issues within H-reflex. His work carried out in the field of Spinal cord injury brings together such families of science as Rehabilitation, Neurorehabilitation, Foramen magnum, Cns plasticity and Reflex.
Jonathan R. Wolpaw mainly investigates Brain–computer interface, Electroencephalography, Audiology, Rehabilitation and Physical medicine and rehabilitation. His Brain–computer interface study combines topics in areas such as Speech recognition, Amyotrophic lateral sclerosis and Human–computer interaction. His work investigates the relationship between Human–computer interaction and topics such as Reliability that intersect with problems in Artificial intelligence.
His Audiology research integrates issues from Developmental psychology, Event-related potential, Motor control and Set. His Physical medicine and rehabilitation research incorporates themes from Spinal cord injury, Rhythm, Affect and Reflex. He has researched Reflex in several fields, including Preferred walking speed, Electromyography, Muscle spindle and Spasticity.
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Brain-computer interfaces for communication and control.
Jonathan R Wolpaw;Jonathan R Wolpaw;Niels Birbaumer;Niels Birbaumer;Dennis J McFarland;Gert Pfurtscheller.
Clinical Neurophysiology (2002)
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)
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Jonathan R. Wolpaw;Dennis J. McFarland.
Proceedings of the National Academy of Sciences of the United States of America (2004)
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)
An EEG-based brain-computer interface for cursor control
Jonathan R. Wolpaw;Dennis J. McFarland;Gregory W. Neat;Catherine A. Forneris.
Electroencephalography and Clinical Neurophysiology (1991)
Brain-Computer Interfaces: Principles and Practice
Jonathan R. Wolpaw;Elizabeth Winter Wolpaw.
Brain-computer interfaces in neurological rehabilitation.
Janis J Daly;Jonathan R Wolpaw.
Lancet Neurology (2008)
Spatial filter selection for EEG-based communication
Dennis J. McFarland;Lynn M. McCane;Stephen V. David;Jonathan R. Wolpaw.
Electroencephalography and Clinical Neurophysiology (1997)
A comparison of classification techniques for the P300 Speller
Dean J Krusienski;Eric W Sellers;François Cabestaing;Sabri Bayoudh.
Journal of Neural Engineering (2006)
Profile was last updated on December 6th, 2021.
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