<p>Mean decoding accuracies of the first PC of movement across cross-validations and sessions are displayed for features chosen in decreasing order of correlation. Shading corresponds to the 95<sup>th</sup> percentile confidence interval for the mean.</p
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
Task performance versus model transition values, , for three tasks: (a) verb generation (VG), (b) se...
Many investigators are currently developing models to predict human performance in detecting a signa...
A, B, C, and D: Each colored line indicates a result from a single random training-test set split, a...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
Average fraction of explainable variance explained (FEV) for models using different VGG layers as no...
The analytical noise ceiling estimator for the correlation coefficient in blue and its [5 95] percen...
<p>The middle column indicates the mean of the accuracy scores for the 10 fold cross validation expe...
<p>Correlations were calculated at each feature's best lag (within ±1 second) relative to the moveme...
A. Quantification of the effect of COBRA (Constraint-Based Reconstruction and Analysis)—based featur...
<p>Psychophysical (open symbols) and model (closed symbols) direction discrimination performances ar...
<p>Relationship of instrument movement entropy with rate of errors, displaying regression line with ...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Correlation metrics between initial parameter guesses and optimized parameter guesses, for the 100 o...
Blue solid lines indicate parameter means, green dashed lines parameter medians. (A) Histogram of th...
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
Task performance versus model transition values, , for three tasks: (a) verb generation (VG), (b) se...
Many investigators are currently developing models to predict human performance in detecting a signa...
A, B, C, and D: Each colored line indicates a result from a single random training-test set split, a...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
Average fraction of explainable variance explained (FEV) for models using different VGG layers as no...
The analytical noise ceiling estimator for the correlation coefficient in blue and its [5 95] percen...
<p>The middle column indicates the mean of the accuracy scores for the 10 fold cross validation expe...
<p>Correlations were calculated at each feature's best lag (within ±1 second) relative to the moveme...
A. Quantification of the effect of COBRA (Constraint-Based Reconstruction and Analysis)—based featur...
<p>Psychophysical (open symbols) and model (closed symbols) direction discrimination performances ar...
<p>Relationship of instrument movement entropy with rate of errors, displaying regression line with ...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Correlation metrics between initial parameter guesses and optimized parameter guesses, for the 100 o...
Blue solid lines indicate parameter means, green dashed lines parameter medians. (A) Histogram of th...
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
Task performance versus model transition values, , for three tasks: (a) verb generation (VG), (b) se...
Many investigators are currently developing models to predict human performance in detecting a signa...