<p>(A) Classification accuracy when the number of averaged trials was different. Each colored line represents the accuracy for an individual subject. The bold black line indicates the mean accuracy across subjects. (B) Classification accuracies for each direction. The data for 10-averaged trials is shown. Each line shows averaged accuracy across subjects for each direction and average for all the directions.</p
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
<p>A) Average biases across subjects. B) The distribution of subjects’ individual biases (based on e...
<p>Directional accuracy for : number of first-best and second-best models, together with their perce...
<p>(A) Localization accuracy across subjects for each direction. Each circle represents the percenta...
<p>(A) Classification accuracy when the number of channels was reduced. The bold black, red, and blu...
(a) Bias in perceived direction averaged across all observers. Horizontal bars indicate the mean acr...
Each data point indicates the average value between internal motion conditions for one observer (pos...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
<p>The error bars correspond to the standard deviation and the shaded area denotes the range of all ...
<p>Distribution of errors in direction judgments, shown as violin plots for each stimulus direction ...
<p>A. Classification model fot target detection built from the Color Luminance experiment and used t...
<p>Significance levels are based on planned comparisons against chance with one-sample t-tests, two-...
<p>First, each subject’s average bias (over 15 trials) was computed for each of the five locations. ...
<p>Data was generated from responses combined across subjects. There is one data point for each of t...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
<p>A) Average biases across subjects. B) The distribution of subjects’ individual biases (based on e...
<p>Directional accuracy for : number of first-best and second-best models, together with their perce...
<p>(A) Localization accuracy across subjects for each direction. Each circle represents the percenta...
<p>(A) Classification accuracy when the number of channels was reduced. The bold black, red, and blu...
(a) Bias in perceived direction averaged across all observers. Horizontal bars indicate the mean acr...
Each data point indicates the average value between internal motion conditions for one observer (pos...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
<p>The error bars correspond to the standard deviation and the shaded area denotes the range of all ...
<p>Distribution of errors in direction judgments, shown as violin plots for each stimulus direction ...
<p>A. Classification model fot target detection built from the Color Luminance experiment and used t...
<p>Significance levels are based on planned comparisons against chance with one-sample t-tests, two-...
<p>First, each subject’s average bias (over 15 trials) was computed for each of the five locations. ...
<p>Data was generated from responses combined across subjects. There is one data point for each of t...
Each row represents a complete analysis for a single subject. Columns represent different levels of ...
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
<p>A) Average biases across subjects. B) The distribution of subjects’ individual biases (based on e...