A: Illustration of the L1 (blue) and (red) distances between two distributions. The green dotted line represents the optimal classification bound (i.e., the value with equal likelihood to belong to either distribution). The proposed invariance coefficient represents the proportion of overlap between the two distributions (red area over the sum of red and blue areas). B: Correlation between the continuous level of change implemented in the encoding model and . C-D: Construct validity of the two versions of (i.e., their correlation with the true value ): one version computed by decoding stimulus values (panel C) and another by decoding level of context (panel D).</p
<p>(<b>A</b>) Demonstration of the 3D framework in a cubic, where the big green dots represent the l...
(A) Designed data distributions of the three-dimensional data of 20 x 20 x 20 categories from two-le...
<p>Panel a shows the means of the original distributions for and in blue and red, respectively. In...
A: Encoding models used in simulation 1. B: Steps taken in each repetition of simulation 1. See main...
A: Encoding model for simulation 2. See main text for details. Panels B-E show the decoding results ...
(A) Examples for compound signals with positive (top) and negative (bottom) α- vs. β-envelope correl...
For simulation setting (1), shown are the RSSEs of the estimated joint probabilities to the true val...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
The first two panels from the top show the potentials for different values of the control parameter ...
A. Example encoding stage representations of novel object images. Each subtask consists of images of...
<p>This shows the performance of the three different methods (MELD, t+TFCER, and t-test) using three...
<p>This shows the performance of the three different methods (MELD, t+TFCER, and t-test) using three...
<p>The upper panel shows a typical simulated dataset under each of three scenarios (see text), but w...
Within each growth layout, a logistic regression was performed to classify connection existence from...
<p>Dispersions with gene-wise log geometric mean counts below the median (log mean from 2.17 to 1.63...
<p>(<b>A</b>) Demonstration of the 3D framework in a cubic, where the big green dots represent the l...
(A) Designed data distributions of the three-dimensional data of 20 x 20 x 20 categories from two-le...
<p>Panel a shows the means of the original distributions for and in blue and red, respectively. In...
A: Encoding models used in simulation 1. B: Steps taken in each repetition of simulation 1. See main...
A: Encoding model for simulation 2. See main text for details. Panels B-E show the decoding results ...
(A) Examples for compound signals with positive (top) and negative (bottom) α- vs. β-envelope correl...
For simulation setting (1), shown are the RSSEs of the estimated joint probabilities to the true val...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
The first two panels from the top show the potentials for different values of the control parameter ...
A. Example encoding stage representations of novel object images. Each subtask consists of images of...
<p>This shows the performance of the three different methods (MELD, t+TFCER, and t-test) using three...
<p>This shows the performance of the three different methods (MELD, t+TFCER, and t-test) using three...
<p>The upper panel shows a typical simulated dataset under each of three scenarios (see text), but w...
Within each growth layout, a logistic regression was performed to classify connection existence from...
<p>Dispersions with gene-wise log geometric mean counts below the median (log mean from 2.17 to 1.63...
<p>(<b>A</b>) Demonstration of the 3D framework in a cubic, where the big green dots represent the l...
(A) Designed data distributions of the three-dimensional data of 20 x 20 x 20 categories from two-le...
<p>Panel a shows the means of the original distributions for and in blue and red, respectively. In...