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

Uran, C., Peter, A., Lazar, A., Barnes, W., Klon-Lipok, J., Shapcott, K. A., et al. (2020). Predictability in natural images determines V1 firing rates and synchronization: A deep neural network approach. bioRxiv.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-81CE-F Version Permalink: http://hdl.handle.net/21.11116/0000-0007-81D4-7
Genre: Journal Article

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 Creators:
Uran, C., Author
Peter, A., Author
Lazar, A.1, Author
Barnes, W.1, Author
Klon-Lipok, J.1, Author
Shapcott, K. A.1, Author
Roese, R., Author
Fries, P., Author
Singer, W.1, Author
Vinck, M., Author
Affiliations:
1Neurophysiology Department, Max Planck Institute for Brain Research, Max Planck Society, Max-von-Laue-Str. 4, 60438 Frankfurt am Main, DE, ou_2461705              

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 Dates: 2020-08-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
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Title: bioRxiv
Source Genre: Journal
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Pages: 1-15 Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: Other: https://doi.org/10.1101/2020.08.10.242958