Nonlinear system identification in multisensory evoked potential studies
T. Aljama Corrales, Jorge I. Aunon · 2003
This work addresses the modeling of electrophysiological information when concurrent visual and auditory stimulation is considered. Contributions from different sensory paths, in multisensory evoked potentials, have not been suitable established by traditional signal processing techniques. The nonlinear autoregressive with exogenous inputs (NARX) model is proposed and explored to establish a relationship between electrical activities of the brain obtained by unimodal and by bimodal stimulation. The intersensory phenomenon concept is stated using nonlinear system theory.