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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2021
Data sources: Datacite
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Claim

Data from "Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes"

Research datakeyboard_double_arrow_right Dataset 14 May 2021 English Publisher:ZenodoFunded by:NIH | Neuronal circuits for con..., NSF | PFC: Center for the Physi..., EC | LEARN2SEE
Authors: Caramellino, Riccardo; Piasini, Eugenio; Buccellato, Andrea; Carboncino, Anna; Balasubramanian, Vijay; Zoccolan, Davide;

doi: 10.5281/zenodo.4763647 , 10.5281/zenodo.4762567 , 10.5281/zenodo.4762568

Data from "Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes"

Abstract

This archive contains the experimental data associated with the paper "Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes" by Riccardo Caramellino, Eugenio Piasini, Andrea Buccellato, Anna Carboncino, Vijay Balasubramanian, and Davide Zoccolan.

Related Organizations
Keywords

Vision, Psychophysics, Rat, Textures, Maximum Entropy, Neuroscience

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
11
5
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Neuroscience