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Math format invariance data & code

<p>Here we provide preprocessed fMRI data and analysis scripts used in &quot;Quantitative modeling demonstrates format-invariant representations of mathematical problems in the brain&rdquo;</p> <p>The preprocessed data are provided for each participant (sub-01 to sub-08).</p> <p>The analysis scripts require&nbsp;MATLAB (R2019b) and&nbsp;FreeSurfer v7.1.1.</p> <p>&nbsp;</p> <p>Ridge regression</p> <pre><code>ID = 'sub-01'; Method = 'Operator'; Code = 1; %1: all operators %2: only single operators %3: only double operators Ridge(ID, Method, Code) Ridge_CrossModal(ID, Method, Code)</code></pre> <p>Format invariance and&nbsp;specificity</p> <pre><code>ModInv(ID, Method, Code) ModInv_MinusRead(ID, Method, Code) ModSpec(ID, Method, Code)</code></pre> <p>Representational similarity analysis&nbsp;</p> <pre><code>RSM_Group_WholeCortex(Method, Code) RSM_Group_WholeCortex_MinusRead(Method, Code)</code></pre> <p>Principal component analysis</p> <pre><code>PCA_Group_WholeCortex(Method, Code)</code></pre> <p>&nbsp;</p> <p>If you have any questions, please send an email to nakai.tomoya [at] neuro.mimoza.jp.&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
June 2, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.6605257

Scored with release 0.9.0

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