title: Possibility of reinforcement learning based on event-related potential.
abstract: We applied event-related potential (ERP) to reinforcement signals that are equivalent to reward and punishment signals.We conducted an electroencephalogram (EEG) in which volunteers identified the success or failure of a task. We confirmed that there were differences in the EEG depending on whether the task was successful or not and suggested that ERP might be used as a reward of reinforcement leaning. We used a support vector machine (SVM) for recognizing the P300. We selected the feature vector in SVM that was composed of averages of each 50 ms for each of the six channels (C3,Cz,C4,P3,Pz,P4) for a total of 700 ms. We can suggest that reinforcement learning using P300 can be performed accurately.
authors.forename: Yuya
authors.initials: Y
authors.lastname: Yamagishi
authors.forename: Tadashi
authors.initials: T
authors.lastname: Tsubone
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Wada
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012201:Reward; D012680:Sensitivity and Specificity; D013647:Task Performance and Analysis; D014584:User-Computer Interface