caa a22 4500 467893101 CHVBK 20180406152754.0 cr unu---uuuuu 170328e20061201xx s 000 0 eng 10.1007/s10955-006-9107-x doi (NATIONALLICENCE)springer-10.1007/s10955-006-9107-x Patterns and Symmetries in the Visual Cortex and in Natural Images [Elektronische Daten] [Ha Lee, Mehran Kardar] 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. Springer Science+Business Media, Inc., 2006 Visual cortex nationallicence Orientational preference map nationallicence Pinwheel structure nationallicence Joint rotational symmetry nationallicence Transversality nationallicence Information optimization nationallicence Lee Ha Theoretical Biology and Biophysics Group, LosAlamos National Laboratory, MS-K710, Los Alamos, NM, USA aut Kardar Mehran Department of Physics, Massachusetts Institute of Technology, 02139, Cambridge, Massachusetts, USA aut Journal of Statistical Physics Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 125/5-6(2006-12-01), 1243-1266 0022-4715 125:5-6<1243 2006 125 10955 https://doi.org/10.1007/s10955-006-9107-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10955-006-9107-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee Ha Theoretical Biology and Biophysics Group, LosAlamos National Laboratory, MS-K710, Los Alamos, NM, USA aut NATIONALLICENCE 700 1- Kardar Mehran Department of Physics, Massachusetts Institute of Technology, 02139, Cambridge, Massachusetts, USA aut NATIONALLICENCE 773 0- Journal of Statistical Physics Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 125/5-6(2006-12-01), 1243-1266 0022-4715 125:5-6<1243 2006 125 10955 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer