<p>The timecourses are averaged across the IPS voxels from <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001462#pbio-1001462-g002" target="_blank">Figure 2A</a>. Percent signal change is calculated relative to the mean amplitude of the timecourse (the zero ordinate represents mean amplitude). The yellow bars indicate time periods where numerical information was presented in the video and the gray bars represent non-numerical video segments. The timecourses illustrate the correlation between the neural responses of children and adults.</p
Learning the timing of rapidly changing sensory events is crucial to construct a reliable representa...
<p>The graph shows the EEG power time course for each frequency band: alpha band (8–13 Hz) in green,...
<p>Panel <b>A</b> shows the scalp distribution of the group average neural response to the single AM...
<p>The timecourses are averaged across the Broca's area voxels from <a href="http://www.plosbiology....
<p>A: Average time-course for V1 seed, V6, PCu/Cu, PIVC/PIC in infants (left) and adults (right) in ...
<p>Anterior-left lateral view of the functional activations for the contrast “algebra true vs. arith...
<p>(A) Red-yellow regions indicate regions where BOLD signal time courses were significantly correla...
Learning the timing of rapidly changing sensory events is crucial to construct a reliable representa...
<p>(a) Anatomical locations of regions-of-interest (ROIs) in the right pre-central gyrus (red arrow)...
<p><i>a)</i> video frames from an eye tracker camera during a MEG recording at rest, pupil diameter ...
<p>Average correlation of gray matter voxels during peak moments vs. whole videos for the three mora...
Learning the timing of rapidly changing sensory events is crucial to construct a reliable representa...
<p>The mean percent signal change in voxels within a 1mm sphere of the peak voxels are plotted for e...
SummaryLearning the timing of rapidly changing sensory events is crucial to construct a reliable rep...
(a) Autocorrelation of the lower- and higher-level responses in the trained network with natural vid...
Learning the timing of rapidly changing sensory events is crucial to construct a reliable representa...
<p>The graph shows the EEG power time course for each frequency band: alpha band (8–13 Hz) in green,...
<p>Panel <b>A</b> shows the scalp distribution of the group average neural response to the single AM...
<p>The timecourses are averaged across the Broca's area voxels from <a href="http://www.plosbiology....
<p>A: Average time-course for V1 seed, V6, PCu/Cu, PIVC/PIC in infants (left) and adults (right) in ...
<p>Anterior-left lateral view of the functional activations for the contrast “algebra true vs. arith...
<p>(A) Red-yellow regions indicate regions where BOLD signal time courses were significantly correla...
Learning the timing of rapidly changing sensory events is crucial to construct a reliable representa...
<p>(a) Anatomical locations of regions-of-interest (ROIs) in the right pre-central gyrus (red arrow)...
<p><i>a)</i> video frames from an eye tracker camera during a MEG recording at rest, pupil diameter ...
<p>Average correlation of gray matter voxels during peak moments vs. whole videos for the three mora...
Learning the timing of rapidly changing sensory events is crucial to construct a reliable representa...
<p>The mean percent signal change in voxels within a 1mm sphere of the peak voxels are plotted for e...
SummaryLearning the timing of rapidly changing sensory events is crucial to construct a reliable rep...
(a) Autocorrelation of the lower- and higher-level responses in the trained network with natural vid...
Learning the timing of rapidly changing sensory events is crucial to construct a reliable representa...
<p>The graph shows the EEG power time course for each frequency band: alpha band (8–13 Hz) in green,...
<p>Panel <b>A</b> shows the scalp distribution of the group average neural response to the single AM...