西安电子科技大学学报（自然科学版）2011，Vol.38Issue(3)：69-75,7.DOI:10.3969/j.issn.1001-2400.2011.03.012
虚幻面孔加工有效连通网络的非线性DCM分析
Investigation of effective connectivity of the illusory face detection network based on nonlinear dynamic causal models analysis
摘要
Abstract
In order to extract the activation patterns of top-down face processing, the present study uses an experimental paradigm in which participants detect illusory faces in pure noise images. The nonlinear dynamic causal models (DCM) analysis, which has a perfect neural theory foundation, is used to investigate the effective connectivity of the illusory face detection network under the top-down processing mechanism. The optimal network model indicates that the occipital face area (OFA) serves as a key generator of illusory face detection.Under directing top-down visual attention exerted by the inferior parietal lobule (IPL), OFA searches for the pure noise images for face-like features, and then provides those face-like feature information to the fusiform face area(FFA) for further holistic face processing.关键词
非线性分析/动态因果模型/神经网络/top-down/有效连通Key words
nonlinear analysis/ dynamic causal model (DCM)/ neural network/ top-down/ effective connectivity分类
信息技术与安全科学引用本文复制引用
李军,赵继政,冯璐,石光明,梁继民..虚幻面孔加工有效连通网络的非线性DCM分析[J].西安电子科技大学学报（自然科学版）,2011,38(3):69-75,7.基金项目
国家自然科学基金资助项目(30970774,60901064,30870685,30873462,81000641,81000640,81071217,31028010,81071137) （30970774,60901064,30870685,30873462,81000641,81000640,81071217,31028010,81071137）
中国科学院知识创新工程重要方向资助项目(KGXC2-YW-129) （KGXC2-YW-129）
国家重点基础研究发展计划(973计划)资助项目(2011CB707702) （973计划）
中央高校基本科研业务费专项资金资助项目 （）
