Literature DB >> 12899275

The Wadsworth Center brain-computer interface (BCI) research and development program.

Jonathan R Wolpaw1, Dennis J McFarland, Theresa M Vaughan, Gerwin Schalk.   

Abstract

Brain-computer interface (BCI) research at the Wadsworth Center has focused primarily on using electroencephalogram (EEG) rhythms recorded from the scalp over sensorimotor cortex to control cursor movement in one or two dimensions. Recent and current studies seek to improve the speed and accuracy of this control by improving the selection of signal features and their translation into device commands, by incorporating additional signal features, and by optimizing the adaptive interaction between the user and system. In addition, to facilitate the evaluation, comparison, and combination of alternative BCI methods, we have developed a general-purpose BCI system called BCI-2000 and have made it available to other research groups. Finally, in collaboration with several other groups, we are developing simple BCI applications and are testing their practicality and long-term value for people with severe motor disabilities.

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Mesh:

Year:  2003        PMID: 12899275     DOI: 10.1109/TNSRE.2003.814442

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  23 in total

1.  Lateralization of frequency-specific networks for covert spatial attention to auditory stimuli.

Authors:  Samuel Thorpe; Michael D'Zmura; Ramesh Srinivasan
Journal:  Brain Topogr       Date:  2011-06-01       Impact factor: 3.020

Review 2.  Virtual reality in neuroscience research and therapy.

Authors:  Corey J Bohil; Bradly Alicea; Frank A Biocca
Journal:  Nat Rev Neurosci       Date:  2011-11-03       Impact factor: 34.870

3.  Describing different brain computer interface systems through a unique model: a UML implementation.

Authors:  Lucia Rita Quitadamo; Maria Grazia Marciani; Gian Carlo Cardarilli; Luigi Bianchi
Journal:  Neuroinformatics       Date:  2008-07-08

4.  Decoding three-dimensional reaching movements using electrocorticographic signals in humans.

Authors:  David T Bundy; Mrinal Pahwa; Nicholas Szrama; Eric C Leuthardt
Journal:  J Neural Eng       Date:  2016-02-23       Impact factor: 5.379

Review 5.  Brain-computer interfaces using sensorimotor rhythms: current state and future perspectives.

Authors:  Han Yuan; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

6.  Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior.

Authors:  Jennifer Stiso; Marie-Constance Corsi; Jean M Vettel; Javier Garcia; Fabio Pasqualetti; Fabrizio De Vico Fallani; Timothy H Lucas; Danielle S Bassett
Journal:  J Neural Eng       Date:  2020-07-24       Impact factor: 5.379

7.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

8.  Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

Authors:  D B Ryan; G Townsend; N A Gates; K Colwell; E W Sellers
Journal:  Clin Neurophysiol       Date:  2017-08-08       Impact factor: 3.708

9.  Short-time windowed covariance: a metric for identifying non-stationary, event-related covariant cortical sites.

Authors:  Timothy Blakely; Jeffrey G Ojemann; Rajesh P N Rao
Journal:  J Neurosci Methods       Date:  2013-11-06       Impact factor: 2.390

10.  Optimization of electrode channels in Brain Computer Interfaces.

Authors:  M Kamrunnahar; N S Dias; S J Schiff
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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