Dataset Open Access

Data for "Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics"

Oesterle, Jonathan; Behrens, Christian; Schröder, Cornelius; Herrmann, Thoralf; Euler, Thomas; Franke, Katrin; Smith, Robert G; Zeck, Günther; Berens, Philipp


MARC21 XML Export

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    <subfield code="x">Oesterle et al. (2020), Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics, (DOI: 10.7554/eLife.54997)</subfield>
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    <subfield code="x">Franke et al. (2017), Inhibition decorrelates visual feature representations in the inner retina, (DOI: 10.1038/nature21394)</subfield>
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    <subfield code="u">Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany</subfield>
    <subfield code="a">Behrens, Christian</subfield>
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    <subfield code="u">Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany</subfield>
    <subfield code="a">Schröder, Cornelius</subfield>
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    <subfield code="u">Naturwissenschaftliches und Medizinisches Institut an der Universität Tübingen, Reutlingen, Germany</subfield>
    <subfield code="a">Herrmann, Thoralf</subfield>
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    <subfield code="u">Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany</subfield>
    <subfield code="a">Euler, Thomas</subfield>
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    <subfield code="u">Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany</subfield>
    <subfield code="a">Franke, Katrin</subfield>
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    <subfield code="u">Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA</subfield>
    <subfield code="a">Smith, Robert G</subfield>
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    <subfield code="u">Naturwissenschaftliches und Medizinisches Institut an der Universität Tübingen, Reutlingen, Germany</subfield>
    <subfield code="a">Zeck, Günther</subfield>
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    <subfield code="u">Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany</subfield>
    <subfield code="a">Berens, Philipp</subfield>
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    <subfield code="u">Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany</subfield>
    <subfield code="a">Oesterle, Jonathan</subfield>
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    <subfield code="a">Data for "Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics"</subfield>
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    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
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    <subfield code="a">&lt;p&gt;Experimental and precomputed data for the paper &amp;quot;Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics&amp;quot;&amp;nbsp;by Oesterle et al. 2020 (DOI:&amp;nbsp;&lt;a href="https://doi.org/10.7554/eLife.54997"&gt;10.7554/eLife.54997&lt;/a&gt;).&lt;/p&gt;

&lt;p&gt;The cone bipolar cell data has been described and&amp;nbsp;published in the paper &amp;quot;Inhibition decorrelates visual feature representations in the inner retina&amp;quot; by&amp;nbsp;Franke et al. 2017 (DOI:&amp;nbsp;&lt;a href="https://doi.org/10.1038/nature21394"&gt;10.1038/nature21394&lt;/a&gt;).&amp;nbsp;&lt;/p&gt;

&lt;p&gt;This data is both a supplement to the Oesterle et al. paper and the code for this paper.&lt;/p&gt;

&lt;p&gt;The code&amp;nbsp;is available in this&amp;nbsp;&lt;a href="http://github.com/berenslab/CBC_inference"&gt;GitHub repository&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;We recommend&amp;nbsp;downloading the GitHub repository&amp;nbsp;and to follow the instructions there.&lt;/p&gt;</subfield>
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    <subfield code="a">https://github.com/berenslab/CBC_inference</subfield>
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