Fix Bildunterschrift for different means/amplitudes plots
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main.tex
@ -265,9 +265,10 @@ The increase can be explained as the reverse of the effect that leads to decreas
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% \includegraphics[width=0.45\linewidth]{{img/rasterplots/best_approximation_spikes_200hz_1e-07noi500s_15_0.5_1.dat}.pdf}
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\label{codingfraction_means_amplitudes}
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\caption{
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\textbf{A,B}: Coding signal as a function of signal mean for two different frequencies. There is little to no difference in the coding fraction.
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A: $\sigma = 0.1mV$. Each curve shows coding fraction as a function of the signal mean for a different noise level. The vertical line indicates the threshold.
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\textbf{C-E}: Coding fraction as a function of signal amplitude for different tuningcurves (noise levels). Three different means, one below the threshold (9.5mV), one at the threshold (10.0mV), and one above the threshold (10.5mV).}
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\textbf{A,B}: Coding fraction as a function of signal mean.
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Each curve shows coding fraction as a function of the signal mean for a different noise level. The vertical line indicates the threshold. A: $\sigma = 0.1mV$. For the two weak noise strengths coding fraction is 0 if the signal mean too far below the threshold. Just below the threshold there is a sharp increase and a bit above the threshold the curves flatten out with a coding fraction close to 1.
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B: $\sigma = 0.5mV$. Increase in coding fraction with increasing signal mean is much smoother than at the lower amplitude. Surprisingly there is a small drop in coding fraction if the signal mean increases roughly between 10mV and 11mV. The drop sets in slightly earlier for stronger noise. At about 12mV coding fraction reaches a plateu close to 1.
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\textbf{C-E}: Coding fraction as a function of signal amplitude for different tuningcurves (noise levels). Three different means, one below the threshold (9.5mV), one at the threshold (10.0mV), and one above the threshold (10.5mV). Except for one combination of parameters, increasing amplitude always leads to decreasing coding fraction. Because the signal means are all very close to the threshold, an increase in amplitude means that the signal reaches the highly non-linear part of the tunigncurve. The only exception is for the signal mean below the threshold (9.5mV) and relatively weak noise. For those parameters, encoding is very weak. The signal most of the time is not strong enough to create any spikes in the neurons. By increasing the signal amplitude, the non-zero part of the tuning curve is reached more often.}
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\end{figure}
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\section*{Discussion}
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