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Jonathan R. Wolpaw

Researcher at New York State Department of Health

Publications -  261
Citations -  46120

Jonathan R. Wolpaw is an academic researcher from New York State Department of Health. The author has contributed to research in topics: Spinal cord & Brain–computer interface. The author has an hindex of 85, co-authored 256 publications receiving 42477 citations. Previous affiliations of Jonathan R. Wolpaw include Columbia University & University at Albany, SUNY.

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Brain-computer interfaces for communication and control.

TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.
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BCI2000: a general-purpose brain-computer interface (BCI) system

TL;DR: This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BCI2000 system is based upon and gives examples of successful BCI implementations using this system.
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Brain-computer interfaces for communication and control

TL;DR: The brain's electrical signals enable people without muscle control to physically interact with the world through the use of their brains' electrical signals.
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Brain-computer interface technology: a review of the first international meeting

TL;DR: The first international meeting devoted to brain-computer interface research and development is summarized, which focuses on the development of appropriate applications, identification of appropriate user groups, and careful attention to the needs and desires of individual users.
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Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans

TL;DR: It is shown that a noninvasive BCI that uses scalp-recorded electroencephalographic activity and an adaptive algorithm can provide humans, including people with spinal cord injuries, with multidimensional point-to-point movement control that falls within the range of that reported with invasive methods in monkeys.