Unknown

Dataset Information

A generalized framework for quantifying the dynamics of EEG event-related desynchronization.


ABSTRACT: Brains were built by evolution to react swiftly to environmental challenges. Thus, sensory stimuli must be processed ad hoc, i.e., independent--to a large extent--from the momentary brain state incidentally prevailing during stimulus occurrence. Accordingly, computational neuroscience strives to model the robust processing of stimuli in the presence of dynamical cortical states. A pivotal feature of ongoing brain activity is the regional predominance of EEG eigenrhythms, such as the occipital alpha or the pericentral mu rhythm, both peaking spectrally at 10 Hz. Here, we establish a novel generalized concept to measure event-related desynchronization (ERD), which allows one to model neural oscillatory dynamics also in the presence of dynamical cortical states. Specifically, we demonstrate t

SUBMITTER: Lemm S 

PROVIDER: S-EPMC2713829 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature