虚幻面孔加工有效连通网络的非线性DCM分析

doi:10.3969/j.issn.1001-2400.2011.03.012

J4 ›› 2011, Vol. 38 ›› Issue (3): 69-75.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

李军^1,2；赵继政^1,2；冯璐³；石光明²；梁继民¹

(1. 西安电子科技大学生命科学技术学院，陕西西安 710071；
2. 西安电子科技大学电子工程学院，陕西西安 710071|
3. 中国科学院自动化研究所，北京 100190)

收稿日期:2010-04-15 出版日期:2011-06-20 发布日期:2011-07-14
通讯作者: 李军
作者简介:李军(1979-)，男，讲师，博士，E-mail: lijun@life.xidian.edu.cn．
基金资助:
国家自然科学基金资助项目(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);国家重点基础研究发展计划(973计划)资助项目(2011CB707702);中央高校基本科研业务费专项资金资助项目

Investigation of effective connectivity of the illusory face detection network based on nonlinear dynamic causal models analysis

LI Jun ^1,2；ZHAO Jizheng ^1,2；FENG Lu ³；SHI Guangming ²；LIANG Jimin ¹

(1. School of Life Sciences and Technology, Xidian Univ., Xi'an 710071， China|
2. School of Electronic Engineering, Xidian Univ., Xi'an 710071， China
3. Institute of Automation, Chinese Academy of Sciences, Beijing 100190， China)

Received:2010-04-15 Online:2011-06-20 Published:2011-07-14
Contact: LI Jun

摘要/Abstract

摘要：

采用让被试从纯噪声图片中产生虚幻面孔的实验范式来实现面孔top-down加工激活模式的提纯，并使用神经理论基础更为完善的非线性动态因果模型(DCM)来分析top-down方式下虚幻面孔加工有效连通脑网络．所得到的最优脑网络模型表明，枕部面孔区(OFA)在虚幻面孔加工中是关键的面孔信息生成器，它能够被顶下小叶(IPL)施加在其上的top-down注意力所调节，实现在纯噪声图片中检测出类似于面孔的特征信息，然后提供给梭状回面孔区(FFA)作进一步的面孔整体信息加工．

关键词: 非线性分析, 动态因果模型, 神经网络, top-down, 有效连通

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.

Key words: nonlinear analysis, dynamic causal model (DCM), neural network, top-down, effective connectivity

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]. J4, 2011, 38(3): 69-75.

LI Jun；ZHAO Jizheng；FENG Lu；SHI Guangming；LIANG Jimin. Investigation of effective connectivity of the illusory face detection network based on nonlinear dynamic causal models analysis[J]. J4, 2011, 38(3): 69-75.

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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

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