基本信息
浏览量:1
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
The visual sense, as much as the sense of touch, is a spatial sense. We see the world three-dimensional even though vision is based on just two-dimensional images, the optical projections on the retinae. In perception we can segregate figure and ground although objects often occlude one another so that foreground and background structures are cluttered up in the image. Perception decomposes a scene into objects and represents them in their proper dimensions in spite of varying image size and perspective distortion, and in their proper colors in spite of changing illumination. While the interpretation of images is technically very difficult, the visual system performs its task with great ease, so that we hardly become aware of it. The investigation of the neural processes underlying visual perception is the theme of research of this laboratory. The methods are micro-electrode recording from cells of the visual cortex in awake behaving monkeys, psychophysical experiments in humans and monkeys, and mathematical modeling. We are currently working on two main projects. One relates to the mechanisms of 3D form perception from binocular and monocular cues, the other to the coding of features as parts of objects. We use subjective perceptual phenomena as tools in relating the neural signals to the hypothetical representations and processes underlying perception. For example, the changing depth of an ambiguous display, such as the Necker cube, can be used to probe for the neural mechanisms of depth perception, the tendency in figure/ground displays to perceive contours as part of the figure (rather than the ground) can be used to probe for mechanisms of object-related feature representation.
研究兴趣
论文共 115 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
FRONTIERS IN COMPUTER SCIENCE (2023)
加载更多
作者统计
#Papers: 114
#Citation: 7432
H-Index: 29
G-Index: 82
Sociability: 4
Diversity: 3
Activity: 2
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn