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ZENODO
Dataset . 2015
License: CC 0
Data sources: Datacite
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ZENODO
Dataset . 2015
License: CC 0
Data sources: ZENODO
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Dataset From: "Trans-Saccadic Integration Of Peripheral And Foveal Feature Information Is Close To Optimal" (Journal Of Vision)

Authors: Wolf, Christian; Schütz, Alexander C.;

Dataset From: "Trans-Saccadic Integration Of Peripheral And Foveal Feature Information Is Close To Optimal" (Journal Of Vision)

Abstract

Dataset from the following publication: Wolf, C. & Schütz, A.C. (2015). Trans-saccadic integration of peripheral and foveal feature information is close to optimal. Journal of Vision, 15(16):1. doi: 10.1167/15.16.1 . Each folder contains the data belonging to the corresponding experiment in the publication. Data sheets are csv files. Each data folder contains a description of the columns. Every row corresponds to one trial. If a value is missing or not applicable for a given trial, it is labelled as NaN ("not a number"). For experiment 1 and 2, the data also include trials which were not considered for final analysis due to too early or too late saccade onsets. Removed trials can be identified by an additional column (see data description). In experiment 2, participant 41 was excluded from the overall analysis, because this participant was not susceptible to the contrast manipulation. For experiment 3, all trials listed in the data sheet were included in the analysis. For further questions, please contact: chr.wolf[at]uni-marburg.de or a.schuetz[at]uni.marburg.de -- Nov 17th 2015 --

Keywords

trans-saccadic perception, optimal integration, maximum-likelihood estimation, peripheral vision, foveal vision

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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.
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