<p>The feedback accuracy is denoted for the 100 trials of each run. The initial three runs, here marked as block “I”, were done with the <i>Zero-Training</i> classifier, and in the following the order of the classifiers was randomly permuted in each block of two runs, here denoted as “II–V”. The shift of the blue curve relative to the green curve within the shaded areas indicates the order of the classifiers within the block.</p
<p>Learning is shown as the difference between pre- and post-test thresholds. Individual z-scores we...
<p><b>A.</b> Average total number of target presentations required to learn the entire task <i>vs.</...
(A) Serial position curve exhibits specific characteristics depending on strategy. Left panels shows...
<p>In block I, continuous visual feedback was given by a classifier that had been pre-computed with ...
<p>The plot shows the optimal bias update, as calculated on the following 100 trials. This value is ...
<p>The median of the CSP feedback accuracy is slightly higher. This difference is not significant (W...
The four stimuli can map one-to-one onto the four responses in 24 different ways, depicted by the 24...
a, b, c) Experiment 1 Training results generally reflect direct CS/US associations, 1st-order positi...
<p>For incremental learning, averaged accuracies of individual subject classifiers were shown with r...
Results are based on unsmoothed data using a 99th percentile cutoff to threshold the mean activity m...
<div><p>Psychophysical data (percent correct) during the three training sessions. Data are shown for...
(a) 10 iterations of the learning model with the same observations but randomized permutations produ...
<p>Each block consists of a learning and a test phase. In the learning phase, subjects should finish...
<p><b>(A)</b> A 3-way sparse logistic regression classifier was used, with feedback provided from th...
<p>(A) In the graph the percentage of correct responses obtained in the training session (x) and in ...
<p>Learning is shown as the difference between pre- and post-test thresholds. Individual z-scores we...
<p><b>A.</b> Average total number of target presentations required to learn the entire task <i>vs.</...
(A) Serial position curve exhibits specific characteristics depending on strategy. Left panels shows...
<p>In block I, continuous visual feedback was given by a classifier that had been pre-computed with ...
<p>The plot shows the optimal bias update, as calculated on the following 100 trials. This value is ...
<p>The median of the CSP feedback accuracy is slightly higher. This difference is not significant (W...
The four stimuli can map one-to-one onto the four responses in 24 different ways, depicted by the 24...
a, b, c) Experiment 1 Training results generally reflect direct CS/US associations, 1st-order positi...
<p>For incremental learning, averaged accuracies of individual subject classifiers were shown with r...
Results are based on unsmoothed data using a 99th percentile cutoff to threshold the mean activity m...
<div><p>Psychophysical data (percent correct) during the three training sessions. Data are shown for...
(a) 10 iterations of the learning model with the same observations but randomized permutations produ...
<p>Each block consists of a learning and a test phase. In the learning phase, subjects should finish...
<p><b>(A)</b> A 3-way sparse logistic regression classifier was used, with feedback provided from th...
<p>(A) In the graph the percentage of correct responses obtained in the training session (x) and in ...
<p>Learning is shown as the difference between pre- and post-test thresholds. Individual z-scores we...
<p><b>A.</b> Average total number of target presentations required to learn the entire task <i>vs.</...
(A) Serial position curve exhibits specific characteristics depending on strategy. Left panels shows...