Math format invariance data & code
<p>Here we provide preprocessed fMRI data and analysis scripts used in "Quantitative modeling demonstrates format-invariant representations of mathematical problems in the brain”</p> <p>The preprocessed data are provided for each participant (sub-01 to sub-08).</p> <p>The analysis scripts require MATLAB (R2019b) and FreeSurfer v7.1.1.</p> <p> </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 specificity</p> <pre><code>ModInv(ID, Method, Code) ModInv_MinusRead(ID, Method, Code) ModSpec(ID, Method, Code)</code></pre> <p>Representational similarity analysis </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> </p> <p>If you have any questions, please send an email to nakai.tomoya [at] neuro.mimoza.jp. </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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