<p>Results for the sparse data approach, using formula (6). Given numbers are the mean, standard deviation, minimum and maximum of for each indicated value of <i>σ</i>. For each line 20 values for are generated, based on 10 axon-dendrite template combinations and on two symmetrically equivalent displacements, and .</p
<p>(A) Piece-wise linear approximation of the cumulative distribution function for cIN axon length. ...
<p>Examples of segmentation variability among operators A (yellow), B (red), and C (green) for a few...
Left panel: boxplots of the frequency of wild-type individuals ("pfoc") for the three methods. Right...
<p>Variability in the estimation of the expected number of potential synapses at 14 different displa...
<p>A) Degree distributions, both in-degree (blue) and out-degree (red), for the coupling matrices es...
<p>The graphs show average rMSE/mean (Equation 6) values for dye-swap (dual-channel arrays, PramilaL...
(A) Rows correspond to inference tasks: object detection (top), target localization (middle), and or...
<p>(A) Means and standard deviations of the amount of acceleration variability. For each subject, th...
Replication matrerials for Ratkovic and Tingley (2016) “ Sparse Estimation and Uncertainty with Appl...
(Top) For each stimulus level x the distribution of proportion correct is plotted as a heat map base...
<p>The Venn diagrams indicate how the variability is distributed across the 2 regressors where red i...
<p>Range of variability of the input parameters (σ) and percentage increase of the upper bound with ...
<p><i>c</i><sub>0</sub> is an estimate of the nugget effect and <i>c</i><sub>0</sub>/<i>s</i><sup>2<...
(A) Example of model fitting errors (sum of all feature errors) during optimization. (B) Initial par...
Figure source data for "Neuronal variability and tuning are balanced to optimize coding of naturalis...
<p>(A) Piece-wise linear approximation of the cumulative distribution function for cIN axon length. ...
<p>Examples of segmentation variability among operators A (yellow), B (red), and C (green) for a few...
Left panel: boxplots of the frequency of wild-type individuals ("pfoc") for the three methods. Right...
<p>Variability in the estimation of the expected number of potential synapses at 14 different displa...
<p>A) Degree distributions, both in-degree (blue) and out-degree (red), for the coupling matrices es...
<p>The graphs show average rMSE/mean (Equation 6) values for dye-swap (dual-channel arrays, PramilaL...
(A) Rows correspond to inference tasks: object detection (top), target localization (middle), and or...
<p>(A) Means and standard deviations of the amount of acceleration variability. For each subject, th...
Replication matrerials for Ratkovic and Tingley (2016) “ Sparse Estimation and Uncertainty with Appl...
(Top) For each stimulus level x the distribution of proportion correct is plotted as a heat map base...
<p>The Venn diagrams indicate how the variability is distributed across the 2 regressors where red i...
<p>Range of variability of the input parameters (σ) and percentage increase of the upper bound with ...
<p><i>c</i><sub>0</sub> is an estimate of the nugget effect and <i>c</i><sub>0</sub>/<i>s</i><sup>2<...
(A) Example of model fitting errors (sum of all feature errors) during optimization. (B) Initial par...
Figure source data for "Neuronal variability and tuning are balanced to optimize coding of naturalis...
<p>(A) Piece-wise linear approximation of the cumulative distribution function for cIN axon length. ...
<p>Examples of segmentation variability among operators A (yellow), B (red), and C (green) for a few...
Left panel: boxplots of the frequency of wild-type individuals ("pfoc") for the three methods. Right...