Propagation of photon noise and information transfer in visual motion detection |
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Authors: | Lei Shi Alexander Borst |
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Institution: | (1) Department of Systems and Computational Neuroscience, Max-Planck-Institute of Neurobiology, Martinsried, Germany;(2) Present address: Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA 94720, USA;(3) Max-Planck-Institute for Neurobiology, Am Klopferspitz 18, 82152 Martinsried, Germany |
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Abstract: | The extraction of the direction of motion from the time varying retinal images is one of the most basic tasks any visual system
is confronted with. However, retinal images are severely corrupted by photon noise, in particular at low light levels, thus
limiting the performance of motion detection mechanisms of what sort so ever. Here, we study how photon noise propagates through
an array of Reichardt-type motion detectors that are commonly believed to underlie fly motion vision. We provide closed-form
analytical expressions of the signal and noise spectra at the output of such a motion detector array. We find that Reichardt
detectors reveal favorable noise suppression in the frequency range where most of the signal power resides. Most notably,
due to inherent adaptive properties, the transmitted information about stimulus velocity remains nearly constant over a large
range of velocity entropies.
Action editor: Matthew Wiener |
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