Utilization of temporal trial dependency in ERP based BCIs

In most event related potential (ERP) based brain computer interfaces (BCIs) that utilize electroencephalography (EEG), features corresponding to presented stimuli are extracted after the application of a window covering the expected duration of the response. For the paradigms with shorter inter stimulus interval, such an approach not only causes dependencies of the consecutive trials to be lost but also might decrease the efficiency of the utilization of the temporal information in the signal. We propose a graphical model that considers the dependency between consecutive trials to make more informed decisions based on the characteristics of the signal.