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A chromatic feature detector in the retina signals visual context changes

View ORCID ProfileLarissa Höfling, Klaudia P. Szatko, Christian Behrens, Yuyao Deng, View ORCID ProfileYongrong Qiu, David A. Klindt, Zachary Jessen, View ORCID ProfileGregory W. Schwartz, Matthias Bethge, Philipp Berens, Katrin Franke, View ORCID ProfileAlexander S. Ecker, View ORCID ProfileThomas Euler
doi: https://doi.org/10.1101/2022.11.30.518492
Larissa Höfling
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
2Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
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  • ORCID record for Larissa Höfling
Klaudia P. Szatko
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
2Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
9National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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Christian Behrens
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
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Yuyao Deng
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
2Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
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Yongrong Qiu
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
2Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
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David A. Klindt
8SLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, USA
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Zachary Jessen
5Feinberg School of Medicine, Department of Ophthalmology, Northwestern University, Chicago, IL, USA
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Gregory W. Schwartz
5Feinberg School of Medicine, Department of Ophthalmology, Northwestern University, Chicago, IL, USA
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Matthias Bethge
2Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
3Tübingen AI Center, University of Tübingen, Tübingen, Germany
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Philipp Berens
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
2Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
3Tübingen AI Center, University of Tübingen, Tübingen, Germany
4Hertie Institute for AI in Brain Health, Tübingen, Germany
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Katrin Franke
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
10Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
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Alexander S. Ecker
6Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Göttingen, Germany
7Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
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Thomas Euler
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
2Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
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  • For correspondence: [email protected]
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Abstract

The retina transforms patterns of light into visual feature representations supporting behaviour. These representations are distributed across various types of retinal ganglion cells (RGCs), whose spatial and temporal tuning properties have been studied extensively in many model organisms, including the mouse. However, it has been difficult to link the potentially nonlinear retinal transformations of natural visual inputs to specific ethological purposes. Here, we discover a nonlinear selectivity to chromatic contrast in an RGC type that allows the detection of changes in visual context. We trained a convolutional neural network (CNN) model on large-scale functional recordings of RGC responses to natural mouse movies, and then used this model to search in silico for stimuli that maximally excite distinct types of RGCs. This procedure predicted centre colour-opponency in transient Suppressed-by-Contrast RGCs (tSbC), a cell type whose function is being debated. We confirmed experimentally that these cells indeed responded very selectively to Green-OFF, UV-ON contrasts. This type of chromatic contrast was characteristic of transitions from ground to sky in the visual scene, as might be elicited by heador eye-movements across the horizon. Because tSbC cells performed best among all RGC types at reliably detecting these transitions, we suggest a role for this RGC type in providing contextual information (i.e. sky or ground) necessary for the selection of appropriate behavioural responses to other stimuli, such as looming objects. Our work showcases how a combination of experiments with natural stimuli and computational modelling allows discovering novel types of stimulus selectivity and identifying their potential ethological relevance.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Added explanations and intuitions on strengths and weaknesses of MEIs and their interpretation compared to more conventional linear approaches for estimating stimulus selectivity; added an analysis (and new electrophysiological data) of the chromatic contrast selectivity in tSbC RGCs, demonstrating that this selectivity is a nonlinear feature; performed additional in silico experiments corroborating the hypothesis that tSbC RGCs play a role in visual context change detection via their chromatic contrast selectivity .

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 23, 2024.
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A chromatic feature detector in the retina signals visual context changes
Larissa Höfling, Klaudia P. Szatko, Christian Behrens, Yuyao Deng, Yongrong Qiu, David A. Klindt, Zachary Jessen, Gregory W. Schwartz, Matthias Bethge, Philipp Berens, Katrin Franke, Alexander S. Ecker, Thomas Euler
bioRxiv 2022.11.30.518492; doi: https://doi.org/10.1101/2022.11.30.518492
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A chromatic feature detector in the retina signals visual context changes
Larissa Höfling, Klaudia P. Szatko, Christian Behrens, Yuyao Deng, Yongrong Qiu, David A. Klindt, Zachary Jessen, Gregory W. Schwartz, Matthias Bethge, Philipp Berens, Katrin Franke, Alexander S. Ecker, Thomas Euler
bioRxiv 2022.11.30.518492; doi: https://doi.org/10.1101/2022.11.30.518492

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