电子科技大学学报2004，Vol.33Issue(4)：414-418,5.
选择性注意脑电成分的新模型及其应用
A New Signal Model of Selective Attention Evoked Potential and Its Primary Application
摘要
Abstract
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 (G＜1.0) and newly involved neuron activities (W) after 200 ms aim at specific cognitive processing of the selectively enhanced signal.关键词
注意/事件相关电位/信号模型/调制作用Key words
attention/ERP/signal model/modulation分类
生物科学引用本文复制引用
尧德中..选择性注意脑电成分的新模型及其应用[J].电子科技大学学报,2004,33(4):414-418,5.基金项目
国家自然科学基金资助项目(90208003,39980009) （90208003,39980009）
教育部科学技术研究重点项目(02065) （02065）
高等学校博士学科点专项科研基金 （）
教育部青年教师奖励计划. （）
