A model for the receptive field of retinal ganglion cells |
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| Affiliation: | 1. Department of Global Medical Science, Sungshin Women’s University, Seoul 142-732, Republic of Korea;2. Department of Physics and Astronomy and Center for Theoretical Physics, Seoul National University, Seoul 151-747, Republic of Korea;1. Centre de Recherche en Astronomie, Astrophysique et Géophysique, BP 63 Bouzareah, 16340 Algiers, Algeria;2. Sorbonne Université, Paris VI, UPMC, LPP 5 Place Jussieu, 75005 Paris, France;3. T/ICT4D, The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy;4. Université des Sciences et de la Technologie, Alger, BP 32 El-Alia, Bab-Ezzouar, 16111 Algiers, Algeria;5. Institute for Scientific Research, Boston College, Boston, USA;3. From the Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107,;4. the Department of Biochemistry & Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104,;5. the Department of Microbiology, University of Alabama at Birmingham, Birmingham, Alabama 35294,;6. the Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah 84112,;12. the Institute of Biomembranes and Bioenergetics, National Research Council, 70126 Bari, Italy |
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| Abstract: | Most retina ganglion cells have center–surround receptive fields, where the center may be either ON or OFF while the surround is the opposite. We clarify the functional roles of the receptive field structure, on the basis of the modern theory of natural data processing. It is suggested that the retina shares the principal mechanism and performance of image processing with a video codec in computers, where the antagonism in spatial or temporal receptive fields originates from the orthogonality condition between linear filters for optimal coding of visual signals. We also reveal what visual information is multiplexed across the discharges of an ensemble of ganglion cells. Our theory makes it possible to predict the cross-correlations between ganglion cell spikes, which are optimized for LGN cells to respond accurately and quickly to their receptive fields. |
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| Keywords: | Receptive field model Visual information processing Sensory system |
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