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The temporal structure of the inner retina at a single glance

Zhijian Zhao, David Klindt, André Maia Chagas, Klaudia P. Szatko, Luke Rogerson, Dario A. Protti, Christian Behrens, Deniz Dalkara, Timm Schubert, Matthias Bethge, Katrin Franke, View ORCID ProfilePhilipp Berens, Alexander Ecker, View ORCID ProfileThomas Euler
doi: https://doi.org/10.1101/743047
Zhijian Zhao
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
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David Klindt
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
4Graduate Training Centre of Neuroscience, University of Tübingen, Germany
5Institute for Theoretical Physics, University of Tübingen, Germany
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André Maia Chagas
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
4Graduate Training Centre of Neuroscience, University of Tübingen, Germany
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Klaudia P. Szatko
1Institute for Ophthalmic Research, University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
4Graduate Training Centre of Neuroscience, University of Tübingen, Germany
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Luke Rogerson
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
4Graduate Training Centre of Neuroscience, University of Tübingen, Germany
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Dario A. Protti
7Department of Physiology and Bosch Institute, The University of Sydney, Australia
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Christian Behrens
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
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Deniz Dalkara
8Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
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Timm Schubert
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
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Matthias Bethge
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
5Institute for Theoretical Physics, University of Tübingen, Germany
9Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA
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Katrin Franke
1Institute for Ophthalmic Research, University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
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  • For correspondence: thomas.euler@cin.uni-tuebingen.de
Philipp Berens
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
6Institute of Bioinformatics and Medical Informatics, University of Tübingen, Germany
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  • ORCID record for Philipp Berens
  • For correspondence: thomas.euler@cin.uni-tuebingen.de
Alexander Ecker
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
5Institute for Theoretical Physics, University of Tübingen, Germany
9Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA
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  • For correspondence: thomas.euler@cin.uni-tuebingen.de
Thomas Euler
1Institute for Ophthalmic Research, University of Tübingen, Germany
2Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany
3Bernstein Centre for Computational Neuroscience, University of Tübingen, Germany
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  • ORCID record for Thomas Euler
  • For correspondence: thomas.euler@cin.uni-tuebingen.de
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Abstract

The retina decomposes visual stimuli into parallel channels that encode different features of the visual environment. Central to this computation is the synaptic processing in a dense and thick layer of neuropil, the so-called inner plexiform layer (IPL). Here, different types of bipolar cells stratifying at distinct depths relay the excitatory feedforward drive from photoreceptors to amacrine and ganglion cells. Current experimental techniques for studying processing in the IPL do not allow imaging the entire IPL simultaneously in the intact tissue. Here, we extend a two-photon microscope with an electrically tunable lens allowing us to obtain optical vertical slices of the IPL, which provide a complete picture of the response diversity of bipolar cells at a “single glance”. The nature of these axial recordings additionally allowed us to isolate and investigate batch effects, i.e. inter-experimental variations resulting in systematic differences in response speed. As a proof of principle, we developed a simple model that disentangles biological from experimental causes of variability, and allowed us to recover the characteristic gradient of response speeds across the IPL with higher precision than before. Our new framework will make it possible to study the computations performed in the central synaptic layer of the retina more efficiently.

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Posted October 25, 2019.
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The temporal structure of the inner retina at a single glance
Zhijian Zhao, David Klindt, André Maia Chagas, Klaudia P. Szatko, Luke Rogerson, Dario A. Protti, Christian Behrens, Deniz Dalkara, Timm Schubert, Matthias Bethge, Katrin Franke, Philipp Berens, Alexander Ecker, Thomas Euler
bioRxiv 743047; doi: https://doi.org/10.1101/743047
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The temporal structure of the inner retina at a single glance
Zhijian Zhao, David Klindt, André Maia Chagas, Klaudia P. Szatko, Luke Rogerson, Dario A. Protti, Christian Behrens, Deniz Dalkara, Timm Schubert, Matthias Bethge, Katrin Franke, Philipp Berens, Alexander Ecker, Thomas Euler
bioRxiv 743047; doi: https://doi.org/10.1101/743047

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