Now showing items 1-4 of 4

    • Automated computation of arbor densities: a step toward identifying neuronal cell types 

      Sümbül, Uygar; Zlateski, Aleksandar; Vishwanathan, Ashwin; Masland, Richard H.; Seung, H. Sebastian (Frontiers Media S.A., 2014)
      The shape and position of a neuron convey information regarding its molecular and functional identity. The identification of cell types from structure, a classic method, relies on the time-consuming step of arbor tracing. ...
    • A genetic and computational approach to structurally classify neuronal types 

      Sümbül, Uygar; Song, Sen; McCulloch, Kyle; Becker, Michael; Lin, Bin; Sanes, Joshua R.; Masland, Richard H.; Seung, H. Sebastian (2014)
      The importance of cell types in understanding brain function is widely appreciated but only a tiny fraction of neuronal diversity has been catalogued. Here, we exploit recent progress in genetic definition of cell types ...
    • Morphological, Physiological and Molecular Classification of Mouse Retinal Ganglion Cells 

      Qiao, Mu (2016-01-15)
      Visual information is conveyed from the retina to the brain through axons of retinal ganglion cells (RGCs). There are >20 different subtypes of RGCs, each of which detects specific features. Classification of RGC subtypes ...
    • Organotypic Culture of Physiologically Functional Adult Mammalian Retinas 

      Koizumi, Amane; Zeck, Günther; Ben, Yixin; Masland, Richard Harry; Jakobs, Tatjana Claudia (Public Library of Science, 2007)
      Background: The adult mammalian retina is an important model in research on the central nervous system. Many experiments require the combined use of genetic manipulation, imaging, and electrophysiological recording, which ...