title: Transient brain activity explains the spectral content of steady-state visual evoked potentials.
abstract: Steady-state visual evoked potentials (SSVEPs) are widely used in the design of brain-computer interfaces (BCIs). A lot of effort has therefore been devoted to find a fast and reliable way to detect SSVEPs. We study the link between transient and steady-state VEPs and show that it is possible to predict the spectral content of a subject's SSVEPs by simulating trains of transient VEPs. This could lead to a better understanding of evoked potentials as well as to better performances of SSVEP-based BCIs, by providing a tool to improve SSVEP detection algorithms.
authors.forename: Antoine
authors.initials: A
authors.lastname: Gaume
authors.forename: François
authors.initials: F
authors.lastname: Vialatte
authors.forename: Gérard
authors.initials: G
authors.lastname: Dreyfus
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D062207:Brain-Computer Interfaces; D004569:Electroencephalography; D005074:Evoked Potentials, Visual; D005260:Female; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted