Xu Luzhou, Stoica Petre, Li Jian, Bressler Steven L, Shao Xianzhi, Ding Mingzhou
ArrayComm LLC, San Jose, CA 95131, USA.
IEEE Trans Biomed Eng. 2009 Jan;56(1):111-21. doi: 10.1109/TBME.2008.2008166.
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.
认知功能的研究通常是通过在重复呈现感觉刺激或重复执行运动动作的过程中记录大脑的电势来进行的。每次重复都称为一次试验。最近的研究表明，与传统观点相反，事件相关电位（ERP）在不同试验之间可能会有所变化，并且背景持续活动通常包含有关大脑认知状态的丰富信息。基于这样的可变信号加持续活动模型，提出了一种迭代参数估计方法，该方法可以同时获得ERP的单次试验参数和持续活动的自回归表示。这种技术，称为单次试验ERP和持续活动分析方法，首先在模拟示例上进行测试，然后应用于执行视觉运动任务的猴子的局部场电位记录。
