<p>Each waveform represents the average of all 256 electrodes. Lowest layers are in darker colors, and horizontal lines represent statistical significance. Insets, clockwise from top: (1) Onset of statistically significant encoding as a function of CNN layer; (2) maximum variance explained between 101 and 200 ms as a function of CNN layer; (3) maximum variance explained between 0 and 100 ms as a function of CNN layer; (4) maximum variance explained between 101 and 200 ms as a function of CNN layer. Taken together, we can see that early CNN layers explain more variance in ERP patterns, and do so earlier than later CNN layers. All error bars reflect +/- 1 SEM.</p
<p>Decoding trends of CNN1 compared with CCA-KNN by the number of training data in static SSVEP (a) ...
<p>Example images are shown on the left. Activations for each of the eight layers of a pre-trained d...
<p>(<b>A</b>) The grand-average ERP difference waveforms show the larger N2pc on same relative to di...
<p>Black line indicates mean with shaded gray region reflecting 95% confidence interval. Top line in...
(A) Spearman rank correlation coefficients between IT and peak CNN layer similarities are shown for ...
(A) Spearman rank correlation coefficients between IT and peak CNN layer similarities are shown for ...
<p>Explained variance of ERP amplitude at channel Oz over time, for each individual subject (colored...
<p>For each plot, main graph shows variability explained over time. Bar charts show maximum explaine...
A: Randomly selected cells. The normalized explainable variance (oracle) per cell is shown in gray. ...
<p>Top: A, B, C, E - mean peak amplitudes for A. Color/Luminance (exp I); B. Phase offset (exp II); ...
(A, B). Gray curves show the Pearson correlation coefficients between the mean neural distances and ...
<p>Experiments were run on the CNN to quantify the importance of visual inputs at different position...
<p>(A) Left: Modes of <i>in vivo</i> recordings. Each column of the heatmap is an eigenvector of the...
A. Comparison of the Ashcroft score performed by a human pathologist vs the Ashcroft scored by the C...
<p>Representation of the average features of each layer in CNN-2 using ambulatory SSVEP data. In lay...
<p>Decoding trends of CNN1 compared with CCA-KNN by the number of training data in static SSVEP (a) ...
<p>Example images are shown on the left. Activations for each of the eight layers of a pre-trained d...
<p>(<b>A</b>) The grand-average ERP difference waveforms show the larger N2pc on same relative to di...
<p>Black line indicates mean with shaded gray region reflecting 95% confidence interval. Top line in...
(A) Spearman rank correlation coefficients between IT and peak CNN layer similarities are shown for ...
(A) Spearman rank correlation coefficients between IT and peak CNN layer similarities are shown for ...
<p>Explained variance of ERP amplitude at channel Oz over time, for each individual subject (colored...
<p>For each plot, main graph shows variability explained over time. Bar charts show maximum explaine...
A: Randomly selected cells. The normalized explainable variance (oracle) per cell is shown in gray. ...
<p>Top: A, B, C, E - mean peak amplitudes for A. Color/Luminance (exp I); B. Phase offset (exp II); ...
(A, B). Gray curves show the Pearson correlation coefficients between the mean neural distances and ...
<p>Experiments were run on the CNN to quantify the importance of visual inputs at different position...
<p>(A) Left: Modes of <i>in vivo</i> recordings. Each column of the heatmap is an eigenvector of the...
A. Comparison of the Ashcroft score performed by a human pathologist vs the Ashcroft scored by the C...
<p>Representation of the average features of each layer in CNN-2 using ambulatory SSVEP data. In lay...
<p>Decoding trends of CNN1 compared with CCA-KNN by the number of training data in static SSVEP (a) ...
<p>Example images are shown on the left. Activations for each of the eight layers of a pre-trained d...
<p>(<b>A</b>) The grand-average ERP difference waveforms show the larger N2pc on same relative to di...