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CARD_SORTING

CARD_SORTING: explanation of all files and folders

A summary .key of all these results and analyses can be found here. A description of the words used as stimuli is here.

DATA FILES

Raw Data into .mat files

Starting from the files I received from Eleonore and that she directly got from the platform where she ran the experiment I organized the data in .mat files.

  • dataALL_40sub.mat (all subjects)

Dissimilarity Matrices (DSMs)

From the previous .mat files I created 1 DSM for each subject based on his/her own values.

The DSMs are stored in vector shape with 190 entries when all words are used, and 153 when ammoniac and cannelle are excluded (sub 10 and 11 did not know their meaning).

  • DSM_vectors.mat
  • DSM_vectors_exclSub.mat
  • DSM_vectors_exclWords.mat

To create an visualize the dissimilarity matrices I used the script:

  • plotDSM.m --> This script need the dataALL_40sub.mat file & 'pm_data.m' function to run.

DATA VISUALIZATION

Dissimilarity Matrices representation

See above for cassica DSM representation (same script as for creating the dsm files);

These two scripts plot the DSMs changing the order of the conditions based on their similarities. It is useful in order to appreciate possible clustering of the conditions:

  • REORDER_DSM_Olfa_basedONsimilarity.m
  • REORDER_DSM_Neutre_basedONsimilarity.m

To run these script only the file DSM_Gr_mean.mat with the mean value of each group (20 sub) is neeeded.

Multidimentional scaling

Script for MDS is Plot_MDS.m

This script need:

  • dataALL_40sub.mat file
  • pm_data.m function
  • DSM_Gr_mean.mat with the mean value of each group

Dendogram

Script is Plot_dendogram.m

This script need:

  • dataALL_40sub.mat file
  • pm_data.m function
  • DSM_Gr_mean.mat with the mean value of each group

ANALYSES

Decoding analysis: can we decode the group label from the DSMs?

All files related to this analysis are in the folder: Decoding_Analyses. The script to run it is:

  • Decode_DSMmatrices_CARD_SORTING_NEUTRE_SC_AC_permutation.m
  • Decode_DSMmatrices_CARD_SORTING_OLFA_SC_AC_permutation.m --> to run this script you need:
    1. the data in DSMs format
    2. the ds.mat file (template to organize the data for the decoding in CosmoMVPA style).

The results are in the folder Results_perm_CARD_SORTING_NEUTRE and Results_perm_CARD_SORTING_OLFA. Inside this folder there is 1 scripts:

  • visualize_and_compute_statistic_within.m to visualize the null distribution, the real accuracy value and compute the p value.