From d6b45c9ead153768533312562376033273aa11a9 Mon Sep 17 00:00:00 2001
From: Dennis Huben <dennis.huben@rwth-aachen.de>
Date: Thu, 26 Sep 2024 18:31:07 +0200
Subject: [PATCH] Add the narrowband in broadband fish analysis

---
 main.tex | 20 +++++++++++++++++---
 1 file changed, 17 insertions(+), 3 deletions(-)

diff --git a/main.tex b/main.tex
index 81aed5d..61606b2 100644
--- a/main.tex
+++ b/main.tex
@@ -793,11 +793,11 @@ Qualitatively we see very similar results when instead of the broadband signal w
  \label{overview_experiment_results_narrow}
 \end{figure}
 
+Figures \ref{increases_narow} and \ref{increases_narow_high} both show that the results with regards to the increase of coding fraction for different population sizes seen for the broadband signal also appear when we use narrowband signals.
+
 %figures created with result_fits.py
 \begin{figure}
-%\includegraphics[width=0.45\linewidth]{img/ordnung/sigma_popsize_curves_0to300}
 \centering
-%\includegraphics[width=0.45\linewidth]{img/sigma/cf_N_ex_lines}
 \includegraphics[width=0.45\linewidth]{img/sigma/narrow_0_50/scatter_and_fits_sigma_quot_firing_rate}%
 \includegraphics[width=0.45\linewidth]{img/sigma/narrow_0_50/scatter_and_fits_firing_rate_quot_contrast}%
 
@@ -819,11 +819,25 @@ Bottom: Using the difference in coding fraction instead of the quotient makes th
 \includegraphics[width=0.45\linewidth]{img/sigma/narrow_250_300/scatter_and_fits_firing_rate_diff_contrast}%
  \caption{Top: The relative increase in coding fraction for population sizes 64 and 1. Note that the y-axis scales logarithmically Left: As a function of $\sigma$. Red curve shows a regression between $\sigma$ and $\log(c_{64}/c_{1})$.  Right: As a function of cell firing rate. 
 Bottom: Using the difference in coding fraction instead of the quotient makes the relationship between the increase in coding fraction and the two parameters $\sigma$ and firing rate disappear. This might be different for larger population sizes.}
-\label{increases_narow}
+\label{increases_narow_high}
 \end{figure}
 
+\notedh{link to the appropriate chapter from theory results}
+In addition to the ``pure'' narrowband signals, I also analysed the coding fraction change for a smaller part of the spectrum in the experiments using the broadband signal. Figure \ref{increases_narow_in_broad} shows part of the results and again we see the strong correlation between $\sigma$ and the gain and a lesser correlation between the firing rate and the gain. In this case we see the same correlation also for the coding fraction difference.
+Similar results can be observed for the other frequency bands. \notedh{Images to the appendix? The sigma/gain of all in one plot?}
 
+%figures created with result_fits.py
+\begin{figure}
+\centering
+\includegraphics[width=0.45\linewidth]{img/sigma/0_50/scatter_and_fits_sigma_quot_firing_rate}%
+\includegraphics[width=0.45\linewidth]{img/sigma/0_50/scatter_and_fits_firing_rate_quot_contrast}%
 
+\includegraphics[width=0.45\linewidth]{img/sigma/0_50/scatter_and_fits_sigma_diff_firing_rate}%
+\includegraphics[width=0.45\linewidth]{img/sigma/0_50/scatter_and_fits_firing_rate_diff_contrast}%
+ \caption{Top: The relative increase in coding fraction for population sizes 64 and 1. Note that the y-axis scales logarithmically Left: As a function of $\sigma$. Red curve shows a regression between $\sigma$ and $\log(c_{64}/c_{1})$.  Right: As a function of cell firing rate. 
+Bottom: Using the difference in coding fraction instead of the quotient makes the relationship between the increase in coding fraction and the two parameters $\sigma$ and firing rate disappear.}
+\label{increases_narow_in_broad}
+\end{figure}