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Abstract
Visual perception remains stable across saccadic eye movements, despite the concurrent strongly disruptive visual flow. This stability is partially associated with a reduction in visual sensitivity, known as saccadic suppression, which already starts in the retina with reduced ganglion cell sensitivity. However, the retinal circuit mechanisms giving rise to such suppression remain unknown. Here, we describe these mechanisms using electrophysiology in mouse, pig, and macaque retina, 2-photon calcium imaging, computational modeling, and human psychophysics. We find that sequential stimuli, like those that naturally occur during saccades, trigger three independent suppressive mechanisms in the retina. The main mechanism is triggered by contrast-reversing sequential stimuli and originates within the receptive field center of ganglion cells. It does not involve inhibition or other known suppressive mechanisms like saturation or adaptation. Instead, it relies on temporal filtering of the inherently slow response of cone photoreceptors coupled with downstream nonlinearities. Two further mechanisms of suppression are present predominantly in ON ganglion cells and originate in the receptive field surround, highlighting another disparity between ON and OFF ganglion cells. The mechanisms uncovered here likely play a role in shaping the retinal output following eye movements and other natural viewing conditions where sequential stimulation is ubiquitous.
Sequential light stimulation reduces the sensitivity of retinal ganglion cells via three different mechanisms which differentially affect ON and OFF cells.
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1 University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, International Max Planck Research School, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); York University, Center for Vision Research, Toronto, Canada (GRID:grid.21100.32) (ISNI:0000 0004 1936 9430)
2 University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, Hertie Institute for Clinical Brain Research, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447)
3 University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, International Max Planck Research School, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, Institute for Ophthalmic Research, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447)
4 University of Tübingen, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, Institute for Ophthalmic Research, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447)
5 Stanford School of Medicine, Department of Neurosurgery, Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956)
6 University of Tübingen, Institute for Ophthalmic Research, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447); University of Tübingen, Bernstein Center for Computational Neuroscience, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447)
7 ETH Zürich, Bio Engineering Laboratory, Basel, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780); Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland (GRID:grid.508836.0); University of Basel, Faculty of Science, Basel, Switzerland (GRID:grid.6612.3) (ISNI:0000 0004 1937 0642)