On the x-axis the thresholding method and average number of participants per experiment can be found. On the y-axis a boxplot of the number of noise studies that can be added to a meta-analysis of 3 studies with activation before the target area is no longer statistically significant is plotted. In panel A results for the scenario with 1 peak per study are shown, in panel B results for the second scenario, with 8 peaks per study and finally in panel C the results for studies with a random number of peaks are shown.</p
<p>Each boxplot summarizes the distribution of proportional error in the posterior predictive median...
<p>Grey bars: number of times that the null hypothesis was rejected and that the alternative was tru...
Box plot showing the number of robots with the correct opinion in the white-dominant environment (se...
<p>Plots shown for 100 networks at simulation completion for various desired firing rates. Results s...
The predefined lower boundary is set to 30 (2k) and the predefined upper boundary is set to 150 (10k...
Each plot shows the bias for 1 relevant variable (rel.) and the 9 irrelevant variables (irr.) within...
The visualisation is simplified to 2D slices with z = 0. In the activated simulations coordinates ar...
<p>For a range of different simulated signal strengths 2000 simulated sequences were generated and t...
Example MNIST stimuli at different noise levels, from left to right: 0%, 50%, 75%, 88%, 94%, 97%. In...
<p>The y-axis shows the number of variants in the 95% (a) and 99% (b) likely credible sets. The boxp...
Both methods produced identical results thus the curves are perfectly superimposed. The correspondin...
<p>Black box: FGF-23 before the intervention, Grey box: FGF-23 after the intervention. 1: low-flux g...
Boxplots of the pseudo-F statistic for sample clustering (y-axis) for several ordination methods (x-...
<p>(A) Spike count statistics amongst the population of 5000 neurons (spike counts over 400 msec, on...
<p>Boxplots of the intensities before (top panel) and after (bottom panel) normalization. Each box r...
<p>Each boxplot summarizes the distribution of proportional error in the posterior predictive median...
<p>Grey bars: number of times that the null hypothesis was rejected and that the alternative was tru...
Box plot showing the number of robots with the correct opinion in the white-dominant environment (se...
<p>Plots shown for 100 networks at simulation completion for various desired firing rates. Results s...
The predefined lower boundary is set to 30 (2k) and the predefined upper boundary is set to 150 (10k...
Each plot shows the bias for 1 relevant variable (rel.) and the 9 irrelevant variables (irr.) within...
The visualisation is simplified to 2D slices with z = 0. In the activated simulations coordinates ar...
<p>For a range of different simulated signal strengths 2000 simulated sequences were generated and t...
Example MNIST stimuli at different noise levels, from left to right: 0%, 50%, 75%, 88%, 94%, 97%. In...
<p>The y-axis shows the number of variants in the 95% (a) and 99% (b) likely credible sets. The boxp...
Both methods produced identical results thus the curves are perfectly superimposed. The correspondin...
<p>Black box: FGF-23 before the intervention, Grey box: FGF-23 after the intervention. 1: low-flux g...
Boxplots of the pseudo-F statistic for sample clustering (y-axis) for several ordination methods (x-...
<p>(A) Spike count statistics amongst the population of 5000 neurons (spike counts over 400 msec, on...
<p>Boxplots of the intensities before (top panel) and after (bottom panel) normalization. Each box r...
<p>Each boxplot summarizes the distribution of proportional error in the posterior predictive median...
<p>Grey bars: number of times that the null hypothesis was rejected and that the alternative was tru...
Box plot showing the number of robots with the correct opinion in the white-dominant environment (se...