Abstract:
:Brain-computer interfaces (BCIs) can use brain signals from the scalp (EEG), the cortical surface (ECoG), or within the cortex to restore movement control to people who are paralyzed. Like muscle-based skills, BCIs' use requires activity-dependent adaptations in the brain that maintain stable relationships between the person's intent and the signals that convey it. This study shows that humans can learn over a series of training sessions to use EEG for three-dimensional control. The responsible EEG features are focused topographically on the scalp and spectrally in specific frequency bands. People acquire simultaneous control of three independent signals (one for each dimension) and reach targets in a virtual three-dimensional space. Such BCI control in humans has not been reported previously. The results suggest that with further development noninvasive EEG-based BCIs might control the complex movements of robotic arms or neuroprostheses.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
McFarland DJ,Sarnacki WA,Wolpaw JRdoi
10.1088/1741-2560/7/3/036007subject
Has Abstractpub_date
2010-06-01 00:00:00pages
036007issue
3eissn
1741-2560issn
1741-2552pii
S1741-2560(10)45474-9journal_volume
7pub_type
杂志文章abstract:OBJECTIVE:Patients with amyotrophic lateral sclerosis (ALS) may benefit from brain-computer interfaces (BCI), but the utility of such devices likely will have to account for the functional, cognitive, and behavioral heterogeneity of this neurodegenerative disorder. APPROACH:In this study, a heterogeneous group of pati...
journal_title:Journal of neural engineering
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doi:10.1088/1741-2560/13/2/026002
更新日期:2016-04-01 00:00:00
abstract:OBJECTIVE:To determine whether the estimated fraction and degree of distribution of visual responsive neurons in human intracranial microwire recordings depends upon the spike sorting method used. APPROACH:A large dataset of human intracranial microwire recordings from four brain areas was sorted into single unit acti...
journal_title:Journal of neural engineering
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doi:10.1088/1741-2552/ab6cb8
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journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2552/ab094a
更新日期:2019-08-01 00:00:00
abstract:OBJECTIVE:Sleep spindles in the electroencephalogram (EEG) are significant in sleep analysis related to cognitive functions and neurological diseases, and thus are of great clinical interests. An automatic sleep spindle detection algorithm could help decrease the workload of visual inspection by sleep clinicians. APPR...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd463
更新日期:2020-12-16 00:00:00
abstract::Improving cortical prostheses requires the development of recording neural interfaces that are efficient in terms of providing maximal control information with minimal interface complexity. While the typical approaches have targeted neurons in the motor cortex with multiple penetrating shanks, an alternative approach ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/6/2/026004
更新日期:2009-04-01 00:00:00
abstract:OBJECTIVE:Due to low spatial resolution and poor signal-to-noise ratio of electroencephalogram (EEG), high accuracy classifications still suffer from lots of obstacles in the context of motor imagery (MI)-based brain-machine interface (BMI) systems. Particularly, it is extremely challenging to decode multiclass MI EEG ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aba7cd
更新日期:2020-08-11 00:00:00
abstract::Electrical stimulation of peripheral nerve activates large-diameter fibers before small ones. A physiological recruitment order, from small to large-diameter axons, is desirable in many applications. Previous studies using computer simulations showed that selective activation of small fibers could be achieved by resha...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/1/4/003
更新日期:2004-12-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aafabc
更新日期:2019-04-01 00:00:00
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journal_title:Journal of neural engineering
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doi:10.1088/1741-2552/aa6e05
更新日期:2017-08-01 00:00:00
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pub_type: 杂志文章
doi:10.1088/1741-2552/aac3f7
更新日期:2018-08-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aabd5d
更新日期:2018-08-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/9/4/046014
更新日期:2012-08-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/9/1/016007
更新日期:2012-02-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aabca0
更新日期:2018-08-01 00:00:00
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doi:10.1088/1741-2552/abd1ec
更新日期:2020-12-09 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab58a3
更新日期:2020-01-24 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd520
更新日期:2020-12-18 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/4/046021
更新日期:2015-08-01 00:00:00
abstract::Adaptive model theory (AMT) is a computational theory that addresses the difficult control problem posed by the musculoskeletal system in interaction with the environment. It proposes that the nervous system creates motor maps and task-dependent synergies to solve the problems of redundancy and limited central resourc...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2560/2/3/S10
更新日期:2005-09-01 00:00:00
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doi:10.1088/1741-2552/ab890f
更新日期:2020-08-04 00:00:00
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doi:10.1088/1741-2552/ab0dad
更新日期:2019-06-01 00:00:00
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pub_type: 杂志文章
doi:10.1088/1741-2552/abae8a
更新日期:2020-09-18 00:00:00
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pub_type: 杂志文章
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更新日期:2013-12-01 00:00:00
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journal_title:Journal of neural engineering
pub_type: 杂志文章
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更新日期:2015-12-01 00:00:00
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doi:10.1088/1741-2552/aaf13f
更新日期:2019-02-01 00:00:00
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pub_type: 杂志文章
doi:10.1088/1741-2560/4/3/003
更新日期:2007-09-01 00:00:00
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doi:10.1088/1741-2552/aa722c
更新日期:2017-08-01 00:00:00
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更新日期:2018-10-01 00:00:00
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更新日期:2020-03-03 00:00:00
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pub_type: 杂志文章
doi:10.1088/1741-2560/5/4/003
更新日期:2008-12-01 00:00:00