Polished most of 2 new methods figures.

main.tex

@@ -1,6 +1,6 @@
 \documentclass[a4paper, 12pt]{article}
 
-\usepackage[left=2.5cm,right=2.5cm,top=2cm,bottom=2cm,includeheadfoot]{geometry}
+\usepackage[left=2cm,right=2cm,top=2cm,bottom=2cm,includeheadfoot]{geometry}
 \usepackage[onehalfspacing]{setspace}
 \usepackage{graphicx}
 \usepackage{svg}
@@ -409,10 +409,17 @@ intensity-adapted envelope $\adapt(t)$ is then passed on from the local
 interneurons to the ascending neurons, where it serves as the basis for the
 following feature extraction stage.
 
+% Cite somewhere:
 \begin{figure}[!ht]
     \centering
     \includegraphics[width=\textwidth]{figures/pathway_stages_pre.pdf}
-    \caption{}
+    \caption{\textbf{Representations of a song of \textit{O. rufipes} during
+                     the preprocessing stage.}
+                     \textbf{a}:~Bandpass-filtered tympanal signal.
+                     \textbf{b}:~Signal envelope.
+                     \textbf{c}:~Logarithmically scaled envelope.
+                     \textbf{d}:~Intensity-adapted envelope.
+                     }
     \label{fig:pre}
 \end{figure}
 \FloatBarrier
@@ -516,10 +523,16 @@ the resulting high-dimensional feature space, different species-specific song
 patterns are characterized by a distinct combination of feature values, which
 can be read out by a simple linear classifier.
 
+% Cite somewhere:
 \begin{figure}[!ht]
     \centering
     \includegraphics[width=\textwidth]{figures/pathway_stages_feat.pdf}
-    \caption{}
+    \caption{\textbf{Representations of a song of \textit{O. rufipes} during
+                     the feature extraction stage.}
+                     \textbf{a}:~Kernel-specific filter responses.
+                     \textbf{b}:~Binary responses.
+                     \textbf{c}:~Finalized features.
+                     }
     \label{fig:stages_feat}
 \end{figure}
 \FloatBarrier