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\begin{document}
\renewcommand{\baselinestretch}{1}
\title{\parbox{1600pt}{Bypassing time-frequency uncertainty in the detection of transient communication signals in weakly electric fish}}
\title{\parbox{1600pt}{Detecting chirps based on dynamic filtering for the \\ analysis of social interactions 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}
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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.
\textbf{Chirps} are one type of communication signals in weakly electric fish. They are characterized by \textbf{short frequency excursions} and are emitted during various social contexts. The time-frequency uncertainty of the Fourier transform makes it nearly impossible to reliably \textbf{detect and assign} chirps in freely interacting fish based on spectral methods. To overcome these limits, we developed a method based on \textbf{dynamic filtering} and subsequent \textbf{feature detection}.
\vspace{1cm}
\begin{tikzfigure}[]
\label{griddrawing}