submitted to eNeuro

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+\usepackage{textcomp}
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+\usepackage[ngerman,english]{babel}
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+\usepackage[mediumqspace,Gray,squaren]{SIunits}      % \ohm, \micro
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+\usepackage{natbib}
+%\bibliographystyle{jneurosci}
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+\setlength{\parindent}{0em}
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+
+\begin{document}
+\hspace*{\fill} September 24, 2025
+
+\noindent Dear Arvind Kumar,
+
+we would like to submit our manuscript ``Spike generation in
+electroreceptor afferents introduces additional spectral response
+components by weakly nonlinear interactions'' for publication in
+eNeuro. It is the result of a collaborative effort on the theoretical
+side, Benjamin Linder, HU Berlin, and the experimental and numerical
+modeling side, Jan Grewe and myself at the University of Tuebingen,
+within the DFG priority program 2205 ``Evolutionary optimization of
+neuronal processing''.
+
+Computational neuroscientists have a strong interest in characterizing
+non-linearities and study their functional consequences. However,
+experimental backing of these theoretical findings are scarce. For
+example, encoding of dynamic stimuli in spike trains often can be well
+approximated by linear response theory, in particular when driving the
+neuron in the supra-threshold regime at low signal-to-noise
+ratios. This has been exploited in numerous theoretical studies. At
+less noise or stronger stimulus amplitudes non-linear effects become
+more prominent. In the weakly non-linear regime, the second term of
+the Volterra series becomes relevant. Benjamin Lindner developed
+analytical solutions of this term for the leaky integrate-and-fire
+neuron, which predicts non-linear interactions whenever one or the sum
+of two stimulus frequencies matches the neuron's baseline firing
+rate. Until now, however, these fundamental non-linearities arising
+from the core mechanism of spike generation have not been reported in
+any experimental data.
+
+With our work we set out to fill this gap. We scan a large set of
+electrophysiological data measured in two types of electrosensory
+neurons of the electric fish \textit{Apteronotus leptorhynchus} for
+signatures of these non-linearities. In ampullary cells, non-linear
+interaction between two stimulus frequencies are prominent, whereas in
+P-units they are harder to find. Estimating the second-order
+susceptibilites from real data turns out to be a hard problem as
+limited data leads to poor estimates. Comparison with models that have
+been fitted to individual P-units, we are able to deduce the presence
+of non-linear interactions also in some of the P-units. Finally, we
+discuss our findings and the relevance of non-linear interactions in
+the neuroethological context.
+
+We believe that this analysis of electrophysiological data close to
+expectations from theoretical work is of strong interest to many
+readers of eNeuro and can inspire future research in other sensory
+systems.
+
+Best regards,\\%[-2ex]
+%\hspace*{0.17\textwidth}\includegraphics[width=0.3\textwidth]{JanBenda-Signature2020}\\
+Prof. Dr. Jan Benda, on behalf of all authors
+
+\end{document}