Sparse Spatial Sampling for the Computation of Motion in Multiple Stages |
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Authors: | Alireza S Mahani Reza Khanbabaie Harald Luksch Ralf Wessel |
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Institution: | (1) Department of Physics, Washington University, St. Louis, MO 63130, USA;(2) Institute of Biology II, RWTH, 52074 Aachen, Germany |
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Abstract: | The avian retino-tecto-rotundal pathway plays a central role in motion analysis and features complex connectivity. Yet, the
relation between the pathway’s structural arrangement and motion computation has remained elusive. For an important type of
tectal wide-field neuron, the stratum griseum centrale type I (SGC-I) neuron, we quantified its structure and found a spatially
sparse but extensive sampling of the retinal projection. A computational investigation revealed that these structural properties
enhance the neuron’s sensitivity to change, a behaviorally important stimulus attribute, while preserving information about
the stimulus location in the SGC-I population activity. Furthermore, the SGC-I neurons project with an interdigitating topography
to the nucleus rotundus, where the direction of motion is computed. We showed that, for accurate direction-of-motion estimation,
the interdigitating projection of tectal wide-field neurons requires a two-stage rotundal algorithm, where the second rotundal
stage estimates the direction of motion from the change in the relative stimulus position represented in the first stage |
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Keywords: | Anatomy Computation Motion Population coding Vision Tectum |
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