Xianzhi Shao

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Publications (2)4.43 Total impact

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    Article: ASEO: a method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities.
    Luzhou Xu, Petre Stoica, Jian Li, Steven L Bressler, Xianzhi Shao, Mingzhou Ding
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    ABSTRACT: 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.
    IEEE transactions on bio-medical engineering 02/2009; 56(1):111-21. · 2.15 Impact Factor
  • Article: ASEO: A Method for the Simultaneous Estimation of Single-Trial Event-Related Potentials and Ongoing Brain Activities
    Luzhou Xu, P. Stoica, Jian Li, S.L. Bressler, Xianzhi Shao, Mingzhou Ding
    [show abstract] [hide abstract]
    ABSTRACT: 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.
    IEEE Transactions on Biomedical Engineering 02/2009; · 2.28 Impact Factor
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