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\begin{document}

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\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}
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\maketitle
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\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.
    \vspace{1cm}
    \begin{tikzfigure}[]
        \label{griddrawing}
        \includegraphics[width=\linewidth]{figs/introplot}
    \end{tikzfigure}
}
\myblock[TranspBlock]{Chirp Detection Algorithm}{
    \begin{tikzfigure}[]
        \label{fig:alg1}
        \includegraphics[width=0.9\linewidth]{figs/algorithm1}
    \end{tikzfigure}
    \vspace{2cm}
    \begin{tikzfigure}[]
        \label{fig:alg2}
        \includegraphics[width=1\linewidth]{figs/algorithm}
    \end{tikzfigure}
    \vspace{0cm}
}

\column{0.6}
\myblock[TranspBlock]{Chirps in dyadic competitions (Data by Till Raab, 2020)}{
    \vspace{-2.75cm}
    \begin{tikzfigure}[]
        \label{fig:example_b}
        \includegraphics[width=\linewidth]{figs/timeline.pdf}
    \end{tikzfigure}
    \noindent
    \begin{multicols}{2}
        \begin{itemize}
            % \setlength\itemsep{0.5em}
            \item The electric behavior of two fish competing for one shelter were recorded in a light and dark condition.
            \item Using video recordings, behavior was classified as chasings or physical contacts.
        \end{itemize}
    \end{multicols}

    \vspace{-2cm}
    \noindent
    \begin{tikzfigure}[]
        \label{fig:example_b}
        \includegraphics[width=\linewidth]{figs/chirps_winner_loser.pdf}
    \end{tikzfigure}
    \noindent
    \begin{multicols}{2}
        \begin{itemize}
            \item Losers tend to chirp more.
            \item Larger fish usually win. The smaller the size difference the more chirps are emitted. 
            \columnbreak
            \item EOD frequency has no effect on the competition outcome and the chirp rate.
        \end{itemize}
    \end{multicols}
}

\myblock[TranspBlock]{Chirps emitted by loser fish might stop chasing events}{
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        \begin{minipage}{0.3333\linewidth}
            \begin{tikzfigure}[]
                \includegraphics[width=0.95\linewidth]{figs/chirps_in_chasing.pdf}
            \end{tikzfigure}
    \end{minipage}
    \noindent
    \begin{multicols}{2}
        \begin{itemize}
            \item In most cases there is no correlation between chirping and chasing- or physical contact events.
            \item The chirp rate during chasings only increases for some dyads.
        \end{itemize}
    \end{multicols}
}

\myblock[GrayBlock]{Conclusion}{
    \begin{itemize}
        \setlength\itemsep{0.5em}
        \item First tests indicate that our algorithm is able to detect chirps in recordings of multiple fish.
        \item In some cases the chirp rate drastically increases before chasings stop.
        \item Behavioral analysis needs to consider more variables, such as sex, size, and interindividual differences in chirping behavior.
    \end{itemize}
    \vspace{0.2cm}
    }
    \end{columns}

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    \normalsize Contact: \{name\}.\{surname\}@student.uni-tuebingen.de}};

\end{document}
