Decoding Intention at Sensorimotor Timescales
The ability to decode an individual's intentions in real time has long been a ‘holy grail’ of research on human volition. For example, a reliable method could be used to improve scientific study of voluntary action by allowing external probe stimuli to be delivered at different moments during d...
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| Format: | Online |
| Language: | English |
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Public Library of Science
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3921113/ |
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pubmed-3921113 |
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pubmed-39211132014-02-12 Decoding Intention at Sensorimotor Timescales Salvaris, Mathew Haggard, Patrick Research Article The ability to decode an individual's intentions in real time has long been a ‘holy grail’ of research on human volition. For example, a reliable method could be used to improve scientific study of voluntary action by allowing external probe stimuli to be delivered at different moments during development of intention and action. Several Brain Computer Interface applications have used motor imagery of repetitive actions to achieve this goal. These systems are relatively successful, but only if the intention is sustained over a period of several seconds; much longer than the timescales identified in psychophysiological studies for normal preparation for voluntary action. We have used a combination of sensorimotor rhythms and motor imagery training to decode intentions in a single-trial cued-response paradigm similar to those used in human and non-human primate motor control research. Decoding accuracy of over 0.83 was achieved with twelve participants. With this approach, we could decode intentions to move the left or right hand at sub-second timescales, both for instructed choices instructed by an external stimulus and for free choices generated intentionally by the participant. The implications for volition are considered. Public Library of Science 2014-02-11 /pmc/articles/PMC3921113/ /pubmed/24523855 http://dx.doi.org/10.1371/journal.pone.0085100 Text en © 2014 Salvaris, Haggard http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Salvaris, Mathew Haggard, Patrick |
| spellingShingle |
Salvaris, Mathew Haggard, Patrick Decoding Intention at Sensorimotor Timescales |
| author_facet |
Salvaris, Mathew Haggard, Patrick |
| author_sort |
Salvaris, Mathew |
| title |
Decoding Intention at Sensorimotor Timescales |
| title_short |
Decoding Intention at Sensorimotor Timescales |
| title_full |
Decoding Intention at Sensorimotor Timescales |
| title_fullStr |
Decoding Intention at Sensorimotor Timescales |
| title_full_unstemmed |
Decoding Intention at Sensorimotor Timescales |
| title_sort |
decoding intention at sensorimotor timescales |
| description |
The ability to decode an individual's intentions in real time has long been a ‘holy grail’ of research on human volition. For example, a reliable method could be used to improve scientific study of voluntary action by allowing external probe stimuli to be delivered at different moments during development of intention and action. Several Brain Computer Interface applications have used motor imagery of repetitive actions to achieve this goal. These systems are relatively successful, but only if the intention is sustained over a period of several seconds; much longer than the timescales identified in psychophysiological studies for normal preparation for voluntary action. We have used a combination of sensorimotor rhythms and motor imagery training to decode intentions in a single-trial cued-response paradigm similar to those used in human and non-human primate motor control research. Decoding accuracy of over 0.83 was achieved with twelve participants. With this approach, we could decode intentions to move the left or right hand at sub-second timescales, both for instructed choices instructed by an external stimulus and for free choices generated intentionally by the participant. The implications for volition are considered. |
| publisher |
Public Library of Science |
| publishDate |
2014 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3921113/ |
| _version_ |
1612057312561725440 |