A New Signal Model of Selective Attention Evoked Potential and Its Primary Application

Presented is an analytic signal model Va=GVu + W with Va and Vu corresponding to the event-related potentials (ERPs) evoked by attended and unattended visual stimuli, respectively. A total least square algorithm is utilized to get the G and W, then the effect of attention is decomposed into two aspects:attention induced activities (W) and a gain control (G) of unattended. Applied to a spatial attention ERP data, an integrated concept of selective attention is suggested that the early gain amplification (G>1.0) and newly involved neuron activities (W) before 200 ms after the stimulus onset mainly aim at obtaining an improved signal/noise ratio, the late gain supression (GW) after 200 ms aim at specific cognitive processing of the selectively enhanced signal.