Psychophysical and computational study on feature integration and stimulus context dependence in the perception of object attributes.

关于物体属性感知中的特征整合和刺激上下文依赖性的心理物理学和计算研究。

基本信息

批准号：
15500203
负责人：
SAKAI Ko
金额：
$ 2.37万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15500203/
关键词：
vision perception primary visual cortex psychophyics neural networks cortex 傾斜錯視

项目摘要

We investigated how the visual cortex integrates extracted features to perceive the object attribute. In the present study, we proposed a computational model of the cortical architecture that integrated the features, based on psychophysical findings and detailed physiological knowledge. Specifically, we proposed the hypothesis that the extracted features within each stage of cortical processes are integrated based on the contextual dependency of the stage.The computational model includes the contextual dependency of V1 and V2 regions, which consists of (1)extraction of line orientation, (2)contextual dependency realized by surrounding suppression and facilitation, and (3)determination of the direction of border ownership. We examined quantitatively whether this model reproduced the perception of contours and surfaces with close resemblance to physiological and psychophysical findings.The model that include contextual modulation of V1 neurons showed the simulation results consistent with a number of tilt illusions. The model of V2 showed that contrast information extracted from V1 neurons were capable of determining the direction of figure without the detection of T-junctions and corners. The proposed model showed consistent and robust responses that are apparent in the perception of contour and the direction of figure, and reproduced major characteristics of physiology and psychophysics.

我们研究了Visual Cortex如何整合提取的特征以感知对象属性。在本研究中，我们提出了一种基于心理物理发现和详细的生理知识的皮质结构的计算模型，该计算模型整合了这些特征。具体而言，我们提出了以下假设：根据阶段的上下文依赖性，在皮层过程的每个阶段中提取的特征都集成了。计算模型包括V1和V2区域的上下文依赖性，该区域的上下文依赖性是（1）划分线取向，（2）通过周围的抑制和置换式和（3）范围的确定，（2）上下文依赖性实现了上下文依赖性。我们定量检查了该模型是否重现了与生理和心理物理学发现非常相似的轮廓和表面的感知。包括对V1神经元的上下文调节的模型显示了与许多倾斜幻觉一致的模拟结果。 V2的模型表明，从V1神经元中提取的对比度信息能够在未检测到T缝线和角落的情况下确定图方向。所提出的模型显示出一致，强大的反应，这些反应在轮廓和图形方向的感知中显而易见，并再现了生理学和心理物理学的主要特征。