首页 | 本学科首页   官方微博 | 高级检索  
     


Patterns and Symmetries in the Visual Cortex and in Natural Images
Authors:Ha Youn Lee  Mehran Kardar
Affiliation:(1) Theoretical Biology and Biophysics Group, LosAlamos National Laboratory, MS-K710 Los Alamos, NM 87545, USA;(2) Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
Abstract:As borders between different entities, lines are an important element of natural images. Indeed, the neurons of the mammalian visual cortex are tuned to respond best to lines of a given orientation. This preferred orientation varies continuously across most of the cortex, but also has vortex-like singularities known as pinwheels. In attempting to describe such patterns of orientation preference, we are led to consider underlying rotation symmetries: Oriented segments in natural images tend to be collinear; neurons are more likely to be connected if their preferred orientations are aligned to their topographic separation. These are indications of a reduced symmetry requiring joint rotations of both orientation preference and the underlying topography. This is verified by direct statistical tests in both natural images and in cortical maps. Using the statistics of natural scenes we construct filters that are best suited to extracting information from such images, and find qualitative similarities to mammalian vision. PACS84.35+i 89.70.+c 87.57.Nk
Keywords:Visual cortex  Orientational preference map  Pinwheel structure  Joint rotational symmetry  Transversality  Information optimization
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号