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ASEO :
ASEO : a method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities
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Xu, L (författare)
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- Stoica, Peter, 1949- (författare)
- Uppsala universitet,Avdelningen för systemteknik,Reglerteknik
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Li, Jian (författare)
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Bressler, S (författare)
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Shao, X (författare)
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Ding, M (författare)
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(creator_code:org_t)
- 2009
- 2009
- Engelska.
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Ingår i: IEEE Transactions on Biomedical Engineering. - 0018-9294 .- 1558-2531. ; 56:1, s. 111-121
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Cognitive functions are often studied by recording electric potentials from the brain over repeated presentations of a sensory stimulus or repeated performance of a motor action. Each repetition is called a trial. Recent work has demonstrated that contrary to the traditional view, the event-related potential (ERP) can vary from trial to trial and the background ongoing activity often contains rich information about the cognitive state of the brain. Based on such a variable signal plus ongoing activity model, an iterative parameter estimation method is proposed in which both the single-trial parameters of the ERP and the autoregressive representation of the ongoing activity are obtained simultaneously. This technique, referred to as the analysis of single-trial ERP and ongoing activities method, is first tested on simulation examples, and then applied to the local field potential recordings from monkeys performing a visuomotor task.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Autoregressive (AR)
- electroencephalogram (EEG)
- event-related potential (ERP)
- local field potential (LFP)
- maximum-likelihood estimate (MLE)
- ongoing brain activity
- Information technology
- Informationsteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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