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Predictability in natural images determines V1 firing rates and synchronization: A deep neural network approach

Cem Uran, View ORCID ProfileAlina Peter, Andreea Lazar, William Barnes, Johanna Klon-Lipok, Katharine A Shapcott, Rasmus Roese, Pascal Fries, Wolf Singer, View ORCID ProfileMartin Vinck
doi: https://doi.org/10.1101/2020.08.10.242958
Cem Uran
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
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Alina Peter
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
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  • ORCID record for Alina Peter
Andreea Lazar
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
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William Barnes
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
bMax Planck Institute for Brain Research, Frankfurt, Germany
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Johanna Klon-Lipok
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
bMax Planck Institute for Brain Research, Frankfurt, Germany
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Katharine A Shapcott
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
cFrankfurt Institute for Advanced Studies, Frankfurt, Germany
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Rasmus Roese
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
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Pascal Fries
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
dDonders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
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Wolf Singer
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
bMax Planck Institute for Brain Research, Frankfurt, Germany
cFrankfurt Institute for Advanced Studies, Frankfurt, Germany
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Martin Vinck
aErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
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  • ORCID record for Martin Vinck
  • For correspondence: martin.vinck@esi-frankfurt.de
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Predictability in natural images determines V1 firing rates and synchronization: A deep neural network approach
Cem Uran, Alina Peter, Andreea Lazar, William Barnes, Johanna Klon-Lipok, Katharine A Shapcott, Rasmus Roese, Pascal Fries, Wolf Singer, Martin Vinck
bioRxiv 2020.08.10.242958; doi: https://doi.org/10.1101/2020.08.10.242958
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Predictability in natural images determines V1 firing rates and synchronization: A deep neural network approach
Cem Uran, Alina Peter, Andreea Lazar, William Barnes, Johanna Klon-Lipok, Katharine A Shapcott, Rasmus Roese, Pascal Fries, Wolf Singer, Martin Vinck
bioRxiv 2020.08.10.242958; doi: https://doi.org/10.1101/2020.08.10.242958

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