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Department of Medicine
Department of Medicine
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National Center for Chronic Disease Prevention and Health Promotion
National Center for Chronic Disease Prevention and Health Promotion
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Department of Biological Sciences
Department of Biological Sciences
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Member activityView all

  • Article: Monte Carlo methods for localization of cones given multielectrode retinal ganglion cell recordings.
    K Sadeghi, J L Gauthier, G D Field, M Greschner, M Agne, E J Chichilnisky, L Paninski
    [show abstract] [hide abstract]
    ABSTRACT: It has recently become possible to identify cone photoreceptors in primate retina from multi-electrode recordings of ganglion cell spiking driven by visual stimuli of sufficiently high spatial resolution. In this paper we present a statistical approach to the problem of identifying the number, locations, and color types of the cones observed in this type of experiment. We develop an adaptive Markov Chain Monte Carlo (MCMC) method that explores the space of cone configurations, using a Linear-Nonlinear-Poisson (LNP) encoding model of ganglion cell spiking output, while analytically integrating out the functional weights between cones and ganglion cells. This method provides information about our posterior certainty about the inferred cone properties, and additionally leads to improvements in both the speed and quality of the inferred cone maps, compared to earlier "greedy" computational approaches.
    Network Computation in Neural Systems 11/2012;

Information

  • Address
    University Park Campus, 90089, Los Angeles, California, USA
  • Head of Institution
    C.L. Max Nikias
  • Website
    www.usc.edu
  • Phone
    213-740-0848
  • Fax
    213-740-8094

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