Izzo, D.Rossini, L.Rucinski, M.Ampatzis, C.Healy, G.Wilkins, P.Smeaton, A.Yazdani, AshkanEbrahimi, Touradj2009-10-292009-10-292009-10-292009https://infoscience.epfl.ch/handle/20.500.14299/44006Event-related potentials (ERPs) are indicators of brain activity related to cognitive processes. They can be detected from EEG signals and thus constitute an attractive non-invasive option to study cognitive information processing. The P300 wave is probably the most celebrated example of an event-related potential and it is classically studied in connection to the odd-ball paradigm experimental protocol, able to consistently provoke the brain wave. We propose the use of P300 detection to identify the scientific interest in a large set of images and train a computer with machine learning algorithms using the subject’s responses to the stimuli as the training data set. As a first step, we here describe a number of experiments designed to relate the P300 brain wave to the cognitive processes related to placing a scientific judgment on a picture and to study the number of images per seconds that can be processed by such a system.P300Curiosity CloningERPimage classificationtext::conference output::conference proceedings::conference paper