The best performance (marked with an asterisk) occurred for N = 25, with fewer segments the model was not flexible enough and with more segments the model started to overfit.</p
<p>Shown are AUC values for models using points from the west (W) or the east (E); the percentage of...
Correlation profile of the means within segment solution of maximum correlation coefficients across ...
Each point indicates a model performance estimate in the training set (X axis) and its gap from the ...
<p>The classification accuracy is plotted over different number of training samples. For a given num...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>N = circle number. Dwell = dwell-time. Move = move-time. Circuit = circuitousness. Vel = velocity...
<p>Correlations between size of region (GMWM and GM) and number of additional gyri (*G).</p
Correlation of the 25 blocks of the test run (051–075, rows) with the single blocks of the two train...
A, B, C, and D: Each colored line indicates a result from a single random training-test set split, a...
<p><b>A</b> Simulated set of 45 movement endpoints if learning rate <i>B</i> = 0 (i.e., no correctio...
Comparison of correlations between training and position specificity indices for different parts of ...
Distributions of within-participant Pearson correlations for positive and negative ratings in the tr...
Spearman rank correlation coefficients for the correlation between area degree (number of connection...
<p><b>A</b> shows a typical example of an individual ‘learning curve’, as observed in 5 of 10 experi...
<p>The upper row shows how the proportion of networks that converged varies as function of <i>β</i> ...
<p>Shown are AUC values for models using points from the west (W) or the east (E); the percentage of...
Correlation profile of the means within segment solution of maximum correlation coefficients across ...
Each point indicates a model performance estimate in the training set (X axis) and its gap from the ...
<p>The classification accuracy is plotted over different number of training samples. For a given num...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>N = circle number. Dwell = dwell-time. Move = move-time. Circuit = circuitousness. Vel = velocity...
<p>Correlations between size of region (GMWM and GM) and number of additional gyri (*G).</p
Correlation of the 25 blocks of the test run (051–075, rows) with the single blocks of the two train...
A, B, C, and D: Each colored line indicates a result from a single random training-test set split, a...
<p><b>A</b> Simulated set of 45 movement endpoints if learning rate <i>B</i> = 0 (i.e., no correctio...
Comparison of correlations between training and position specificity indices for different parts of ...
Distributions of within-participant Pearson correlations for positive and negative ratings in the tr...
Spearman rank correlation coefficients for the correlation between area degree (number of connection...
<p><b>A</b> shows a typical example of an individual ‘learning curve’, as observed in 5 of 10 experi...
<p>The upper row shows how the proportion of networks that converged varies as function of <i>β</i> ...
<p>Shown are AUC values for models using points from the west (W) or the east (E); the percentage of...
Correlation profile of the means within segment solution of maximum correlation coefficients across ...
Each point indicates a model performance estimate in the training set (X axis) and its gap from the ...
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