Variance based weighting of multisensory head rotation signals for verticality perception

Published: 31 Dec 2019 | Version 2 | DOI: 10.17632/vpngm4j23t.2
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Description of this data

This data set contains the data and code to reproduce the results presented in the PLoS One article "Variance base weighting of multisensory head rotation signals for verticality perception by Christopher J. Dakin, Prateek Kumar, Patrick A. Forbes, Amy Peters, Brian L Day.

Experiment data files

  • Code for Figures and Summary Data
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  • Psychophysics Data
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  • Time Series Data
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    • Sub_1
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    • Sub_10
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    • Sub_2
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    • Sub_3
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    • Sub_4
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    • Sub_5
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    • Sub_6
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    • Sub_7
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    • Sub_8
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    • Sub_9
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Steps to reproduce

Figure 1 is produced in Variance_Based_Weighting_Script_1.m, Figures 2-5 are produced in Variance_Based_Weighting_Script_3_Statistical_Analysis and Figures 6 and 7 are produced in Variance_Based_Weighting_Script_2_Laurens_Angelaki_Model.m

The Group_Times_Series_Data_To_Compared_To_Mechanistic_Model.mat file is used in the Variance Based Weighting Script 2 to plot the Empirical data versus the model predictions.

Psychophysics_Data is summary data from Variance_Based_Weighting_Script_1.m to be read into Variance_Based_Weighting_Script_3_Statistical_Analysis for statistical analysis.

R_Array_For_Statistical_Modelling is the means for each subject for the interval between 27-40s which are used for Statistical modelling in Variance_Based_Weighting_Script_3_Statistical_Analysis and are generated in Variance_Based_Weighting_Script_1.m

Latest version

  • Version 2

    2019-12-31

    Published: 2019-12-31

    DOI: 10.17632/vpngm4j23t.2

    Cite this dataset

    Dakin, Chris (2019), “Variance based weighting of multisensory head rotation signals for verticality perception”, Mendeley Data, v2 http://dx.doi.org/10.17632/vpngm4j23t.2

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Institutions

Utah State University, University College London

Categories

Neuroscience, Behavioral Neuroscience

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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