Brain imaging research on interactions of perceptual modules

感知模块相互作用的脑成像研究

基本信息

批准号：
11410026
负责人：
EJIMA Yoshimichi
金额：
$ 9.47万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1999
资助国家：
日本
起止时间：
1999 至 2001
项目状态：
已结题

项目摘要

We investigated perceptual integration processes in the human brain by using MEG, fMRI, psychophysics and modeling. Following results were obtained.1. MEG analyses(1) The MEG responses correlated with the perception of subjective contours were observed aroud V1 in the latency period of 80-150 ms but the responses correlated with figure-ground segmentation were observed around V3/V3A and had longer peck latencies.(2) It is well known that the responses of neurons in V1 of the primates and cats may be profoundly modulated by the surround stimuli presented outside their classical receptive field. Such effects, recently denoted by a generic term of 'contextual mokulation'. We found contextual modulation of MEG responses in the human V1/V2.2. fMRI analyses(1) We developed an integrated software designed to permit computational neuroimaging through the sopport of surface reconstruction, surface edition, surface measurement, and surface-vased sampling of fMRI data.(2) Neural correlates of color induction were investigated by fMRI. Prominent fMRL responses correlated with induced color were observed in all retinotopic areas, suggesting that the induction may proceed in successive stages of V1-V8.3. Psychophysics ＆ computational model(1) A new method for recovery of heading from motion is developed. The simulations of the algorithm were performed, and it was shown that the method edtimates the direction of heading accurately.(2) Psychophysical experiments on motion assimilation/contrast showed that there are three types of interactions in human motion processing ; one is a summation process effective within nearby regions, and the other two are facilitative and inhibitory induction processes operating over larger spatial scales.(3) We developed a computational model of scene segmentation based on symmetry axes, a primitive descripton of shape geometry. Human performance and VEP responses were in good agreement with perdictions from the model.

我们通过使用MEG，fMRI，心理物理学和建模研究了人脑中的感知整合过程。获得以下结果。1。 MEG分析（1）在80-150毫秒的潜伏期中观察到了与主观轮廓感知相关的MEG响应，但在V3/V3A左右观察到与图形相关的响应相关的响应在V3/V3A附近观察到了较长的佩克潜伏期。他们的经典接受场。这种效果最近以“上下文mokulation”的通用术语表示。我们发现了人类V1/V2.2中MEG响应的上下文调节。 FMRI分析（1）我们开发了一种集成的软件，旨在通过表面重建，表面版，表面测量和基于fMRI数据的表面速度采样的表面重建，表面版本和表面流动的采样。在所有视网膜区域都观察到与诱导颜色相关的显着FMRL反应，这表明该诱导可能在V1-V8.3的成功阶段进行。心理物理与计算模型（1）开发了一种从运动中恢复标题的新方法。进行了算法的仿真，并表明该方法可以降级准确的方向。（2）关于运动同化/对比的心理物理实验表明，人类运动处理中有三种相互作用；一个是一个夏季过程，在附近的区域内有效，另外两个是在较大的空间尺度上运行的友好和抑制性诱导过程。（3）我们开发了基于对称轴的场景分割的计算模型，这是形状几何形状的原始描述。人类的绩效和VEP反应与模型的perdictions非常吻合。