diff --git a/code/plot_kdes.py b/code/plot_kdes.py
index 1d2400d..efbd5c0 100644
--- a/code/plot_kdes.py
+++ b/code/plot_kdes.py
@@ -275,14 +275,15 @@ def main(dataroot):
             # loser_physicals_conv = acausal_kde1d(
             #     loser_physicals[-1], kde_time, kernel_width)
 
-            ax[i].plot(kde_time, loser_offsets_conv/len(offsets))
+            ax[i].plot(kde_time, loser_offsets_conv /
+                       len(offsets), lw=2, zorder=100)
 
             ax[i].fill_between(
                 kde_time,
                 np.percentile(loser_offsets_boot[-1], 1, axis=0),
                 np.percentile(loser_offsets_boot[-1], 99, axis=0),
                 color=ps.white,
-                alpha=0.5)
+                alpha=0.4)
 
             ax[i].plot(kde_time, np.median(loser_offsets_boot[-1], axis=0),
                        color=ps.black, linewidth=2)
@@ -519,7 +520,7 @@ def main(dataroot):
     #                       loser_physicals_boot_quarts[2],
     #                       color=ps.gray,
     #                       alpha=0.5)
-    plt.subplots_adjust(bottom=0.21)
+    plt.subplots_adjust(bottom=0.21, top=0.93)
     plt.savefig('../poster/figs/kde.pdf')
     plt.show()
 
diff --git a/poster/figs/kde.pdf b/poster/figs/kde.pdf
index 365d8e1..ba87f34 100644
Binary files a/poster/figs/kde.pdf and b/poster/figs/kde.pdf differ
diff --git a/poster/main.tex b/poster/main.tex
index 918cdd6..3305b5b 100644
--- a/poster/main.tex
+++ b/poster/main.tex
@@ -7,7 +7,7 @@ blockverticalspace=2mm, colspace=20mm, subcolspace=0mm]{tikzposter} %Default val
 \begin{document}
 
 \renewcommand{\baselinestretch}{1}
-\title{\parbox{1500pt}{Bypassing time-frequency uncertainty in the detection of transient communication signals in weakly electric fish}}
+\title{\parbox{1600pt}{Bypassing time-frequency uncertainty in the detection of transient communication signals in weakly electric fish}}
 \author{Sina Prause, Alexander Wendt, and Patrick Weygoldt}
 \institute{Supervised by Till Raab \& Jan Benda, Neuroethology Lab, University of Tuebingen}
 \usetitlestyle[]{sampletitle}
@@ -17,7 +17,7 @@ blockverticalspace=2mm, colspace=20mm, subcolspace=0mm]{tikzposter} %Default val
 \begin{columns}
 \column{0.4}
 \myblock[TranspBlock]{Introduction}{
-    \textbf{Chirps} are the most common communication signals in weakly electric fish. They are characterized by \textbf{short frequency excursions} and are emitted during various social contexts. It is nearly impossible to reliably \textbf{detect and assign} chirps in freely interacting fish using only a Fourier transform. To overcome these limits, we developed a new method of \textbf{dynamic feature extraction} and classification. 
+    \textbf{Chirps} are the most common communication signals in weakly electric fish. They are characterized by \textbf{short frequency excursions} and are emitted during various social contexts. It is nearly impossible to reliably \textbf{detect and assign} chirps in freely interacting fish using only a Fourier transform. To overcome these limits, we developed a new method of \textbf{dynamic feature extraction} and classification.
     \vspace{1cm}
     \begin{tikzfigure}[]
         \label{griddrawing}
@@ -52,7 +52,7 @@ blockverticalspace=2mm, colspace=20mm, subcolspace=0mm]{tikzposter} %Default val
             \item Experiment had a 3 hour long darkphase and a 3 hour long light phase.
         \end{itemize}
     \end{multicols}
-    
+
 
     \noindent
     \begin{tikzfigure}[]