Behavioral data from experiments on magnitude estimation published in
Petzschner FH, Glasauer S (2011) Iterative Bayesian Estimation as an Explanation for Range and Regression Effects: A Study on Human Path Integration. J Neurosci 31(47):17220 –17229. DOI:10.1523/JNEUROSCI.2028-11.2011

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DE_all.mat 5f7d6fe99e Dateien hochladen nach '' 2 years ago
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README.md

magnitude_estimation

behavioral data from experiments on magnitude estimation published in Petzschner FH, Glasauer S (2011) Iterative Bayesian Estimation as an Explanation for Range and Regression Effects: A Study on Human Path Integration. J Neurosci 31(47):17220 –17229. DOI:10.1523/JNEUROSCI.2028-11.2011

datacite.yml
Title Magnitude Estimation Data
Authors Petzschner,Frederike;ETH Zurich;ORCID:0000-0003-4108-2105
Glasauer,Stefan;Brandenburg University of Technology Cottbus-Senftenberg;ORCID:0000-0002-4313-6210
Description Data is stored in two Matlab files. AE_all.mat contains the raw angular estimation data, DE_all.mat the raw distance estimation data for all participants. Each structure in the cell array Data is for one participant and contains pdata (produced distance or angle, that’s the stimulus) and rdata (re-produced distance or angle, the response). There are 3x180 values, first dimension are the three ranges used, so Data{1}.pdata(1,:) contains the stimuli for participant 1 and the short range in the angular estimation experiment (given you loaded AE_all.mat). Call load('AE_all.mat') plot(Data{1}.pdata',Data{1}.rdata','.') xlabel('stimulus (deg)'),ylabel('reproduction (deg)') to plot the angular estimation data for participant one with each range shown in a different color.
License Creative Commons Attribution-ShareAlike 4.0 International Public License (https://creativecommons.org/licenses/by-sa/4.0/legalcode)
References Petzschner FH, Glasauer S (2011) Iterative Bayesian Estimation as an Explanation for Range and Regression Effects: A Study on Human Path Integration. J Neurosci 31(47):17220 –17229. [doi:10.1523/JNEUROSCI.2028-11.2011] (IsSupplementTo)
Glasauer S, Shi Z (2021) Individual beliefs about temporal continuity explain variation of perceptual biases. bioRxiv [doi:10.1101/2021.07.13.452167] (IsReferencedBy)
Funding BMBF, BCCN 01GQ0440
Keywords Neuroscience
Psychophysics
Distance Estimation
Perception
Magnitude
Resource Type Dataset