title: ASEO: a method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities.
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.
authors.affiliation: ArrayComm LLC, San Jose, CA 95131, USA.
authors.forename: Luzhou
authors.initials: L
authors.lastname: Xu
authors.forename: Petre
authors.initials: P
authors.lastname: Stoica
authors.forename: Jian
authors.initials: J
authors.lastname: Li
authors.forename: Steven L
authors.initials: SL
authors.lastname: Bressler
authors.forename: Xianzhi
authors.initials: X
authors.lastname: Shao
authors.forename: Mingzhou
authors.initials: M
authors.lastname: Ding
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D005071:Evoked Potentials / Q000502:physiology*; D000882:Haplorhini; D008959:Models, Neurological; D016011:Normal Distribution; D011597:Psychomotor Performance / Q000502:physiology*