Abstract

The neural processes underlying perception of motion are relatively unknown. In this study Electroencephalography (EEG) is used to investigate the neural responses to passive self-motion. A Stewart platform was employed to translate subjects forwards and backwards while high-density EEG data was recorded. Modern source modeling methods were combined with classical waveform and topographic analyses to determine the electrophysiological correlates of motion processing.