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Added some (older) papers on neuronal types, structure, and connectivity to the literature archive.

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Expanded cite.bib accordingly.
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j-hartling 2025-12-11 11:30:10 +01:00
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65
cite.bib
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@ -100,6 +100,16 @@
pages={2575--2580},
year={2009},
}
@article{eichendorf1980projections,
title={Projections of auditory ventral-cord neurons in the supraesophageal ganglion of Locusta migratoria},
author={Eichendorf, Annette and Kalmring, Klaus},
journal={Zoomorphologie},
volume={94},
number={2},
pages={133--149},
year={1980},
publisher={Springer}
}
@article{fisch2012channel,
title={Channel noise from both slow adaptation currents and fast currents is required to explain spike-response variability in a sensory neuron},
author={Fisch, Karin and Schwalger, Tilo and Lindner, Benjamin and Herz, Andreas VM and Benda, Jan},
@ -151,6 +161,37 @@
pages={433--450},
year={1996},
}
@article{kalmring1975afferent,
title={The afferent auditory pathway in the ventral cord of Locusta migratoria (Acrididae) I. Synaptic connectivity and information processing among the auditory neurons of the ventral cord},
author={Kalmring, Klaus},
journal={Journal of comparative physiology},
volume={104},
number={2},
pages={103--141},
year={1975},
publisher={Springer}
}
@article{kalmring1972akustische,
title={Akustische Neuronen im Bauchmark der Wanderheuschrecke Locusta migratoria},
author={Kalmring, Klaus and Rheinlaender, J{\"u}rgen and Rehbein, Hansgeorg},
journal={Zeitschrift f{\"u}r vergleichende Physiologie},
volume={76},
number={3},
pages={314--332},
year={1972},
publisher={Springer}
}
@article{kalmring1978coding,
title={The coding of sound signals in the ventral-cord auditory system of the migratory locust, Locusta migratoria},
author={Kalmring, Klaus and K{\"u}hne, Roland and Moysich, Fritz},
journal={Journal of comparative physiology},
volume={128},
number={3},
pages={213--226},
year={1978},
publisher={Springer}
}
@article{lang2000acoustic,
title={Acoustic communication distances of a gomphocerine grasshopper},
author={Lang, Friederike},
@ -211,6 +252,17 @@
pages={1965--1974},
year={2008},
}
@article{rehbein1974structure,
title={Structure and function of acoustic neurons in the thoracic ventral nerve cord of Locusta migratoria (Acrididae)},
author={Rehbein, Hansgeorg and Kalmring, Klaus and R{\"o}mer, Heiner},
journal={Journal of comparative physiology},
volume={95},
number={3},
pages={263--280},
year={1974},
publisher={Springer}
}# Cited
@article{rehbein1976auditory,
title={Auditory neurons in the ventral cord of the locust: Morphological and functional properties},
author={Rehbein, Hansgeorg},
@ -218,7 +270,8 @@
volume={110},
pages={233--250},
year={1976},
}
}# Cited
@article{romer1985responses,
title={Responses to model songs of auditory neurons in the thoracic ganglia and brain of the locust},
author={R{\"o}mer, Heiner and Seikowski, Ulrich},
@ -265,6 +318,16 @@
pages={154--175},
year={2023},
}
@article{sippel1983nonlinear,
title={Non-linear analysis of the transmission of signals in the auditory system of the migratory locust Locusta migratorta},
author={Sippel, Martin and Breckow, Joachim},
journal={Biological Cybernetics},
volume={46},
number={3},
pages={197--205},
year={1983},
publisher={Springer}
}
@article{stumpner1994song,
title={{Song production and song recognition in a group of sibling grasshopper species (Chorthippus dorsatus, Ch. dichrous and Ch. loratus: Orthoptera, Acrididae)}},
author={Stumpner, Andreas and von Helversen, Otto},

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@ -8,28 +8,34 @@
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@ -40,32 +46,32 @@
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@ -74,5 +80,5 @@
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@ -513,6 +513,78 @@
\field{pages}{63\bibrangedash 101}
\range{pages}{39}
\endentry
\entry{rehbein1976auditory}{article}{}
\name{author}{1}{}{%
{{un=0,uniquepart=base,hash=34d133bc807dc9040cb5b3db821041f3}{%
family={Rehbein},
familyi={R\bibinitperiod},
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giveni={H\bibinitperiod},
givenun=0}}%
}
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\strng{authornamehash}{34d133bc807dc9040cb5b3db821041f3}
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\field{sortinit}{R}
\field{sortinithash}{5e1c39a9d46ffb6bebd8f801023a9486}
\field{extradatescope}{labelyear}
\field{labeldatesource}{}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{journaltitle}{J Comp Physiol A}
\field{title}{Auditory neurons in the ventral cord of the locust: Morphological and functional properties}
\field{volume}{110}
\field{year}{1976}
\field{pages}{233\bibrangedash 250}
\range{pages}{18}
\endentry
\entry{rehbein1974structure}{article}{}
\name{author}{3}{ul=1}{%
{{un=0,uniquepart=base,hash=34d133bc807dc9040cb5b3db821041f3}{%
family={Rehbein},
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family={Römer},
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}
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(generated)
"main.bbl"
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@ -134,6 +134,25 @@ $\rightarrow$ More general, simpler, unfitted formalized Gabor filter bank
\section{Developing a functional model of\\the grasshopper auditory pathway}
The auditory pathway of grasshoppers comprises a number of neuronal stages and
identified cell types~(\bcite{rehbein1974structure}; \bcite{rehbein1976auditory}).
Along the auditory pathway of grasshoppers (Fig.\,\ref{fig:pathway}a+b),
1) "Pre-split portion" of the auditory pathway:\\
Tympanal membrane $\rightarrow$ Receptor neurons $\rightarrow$ Local interneurons
Similar response/filter properties within receptor/interneuron populations (\cite{clemens2011efficient})\\
$\rightarrow$ One population-wide response trace per stage (no "single-cell resolution")
2) "Post-split portion" of the auditory pathway:\\
Ascending neurons (AN) $\rightarrow$ Central brain neurons
Diverse response/filter properties within AN population (\cite{clemens2011efficient})\\
- Pathway splitting into several parallel branches\\
- Expansion into a decorrelated higher-dimensional sound representation\\
$\rightarrow$ Individual neuron-specific response traces from this stage onwards
\begin{figure}[!ht]
\centering
\def\svgwidth{\textwidth}
@ -148,9 +167,9 @@ $\rightarrow$ More general, simpler, unfitted formalized Gabor filter bank
Grasshoppers receive airborne sound waves by a tympanal organ at each side of
the thorax~(Fig.\,\ref{fig:pathway}a). The tympanal membrane acts as a
mechanical resonance filter, that focuses vibrations of specific frequencies on
different membrane areas while attenuating
others~(\bcite{michelsen1971frequency}; \bcite{windmill2008time};
mechanical resonance filter: Vibrations that fall within specific frequency
bands are focused on different membrane areas, while others are
attenuated~(\bcite{michelsen1971frequency}; \bcite{windmill2008time};
\bcite{malkin2014energy}). This processing step can be approximated by an
initial bandpass filter
\begin{equation}
@ -158,10 +177,10 @@ initial bandpass filter
\label{eq:bandpass}
\end{equation}
applied to the acoustic input signal $\raw(t)$. The auditory receptor neurons
connect directly to the tympanal membrane. Besides performing the
mechano-electrical transduction, the receptor population further is substrate
to several known processing steps. First, the receptors extract the signal
envelope~(\bcite{machens2001discrimination}), which likely involves a
connect directly to the tympanal membrane~(Fig.\,\ref{fig:pathway}a). Besides
performing the mechano-electrical transduction, the receptor population is
substrate to several known processing steps. First, the receptors extract the
signal envelope~(\bcite{machens2001discrimination}), which likely involves a
rectifying nonlinearity~(\bcite{machens2001representation}). This can be
modelled as full-wave rectification followed by lowpass filtering
\begin{equation}
@ -177,52 +196,25 @@ logarithmic compression is achieved by conversion to decibel scale
\label{eq:log}
\end{equation}
relative to the maximum intensity $\dbref$ of the signal envelope $\env(t)$.
The axons of the receptor neurons project into the metathoracic ganglion, where
they synapse onto local interneurons~(Fig.\,\ref{fig:pathway}b). Both the local
interneurons~(\bcite{hildebrandt2009origin}; \bcite{clemens2010intensity}) and,
to a lesser extent, the receptors themselves~(\bcite{fisch2012channel}) display
spike-frequency adaptation in response to sustained stimulation.
This behavior is crucial to render subsequent signal representations invariant
to variations in sound intensity.
"Pre-split portion" of the auditory pathway:\\
Tympanal membrane $\rightarrow$ Receptor neurons $\rightarrow$ Local interneurons
Similar response/filter properties within receptor/interneuron populations (\cite{clemens2011efficient})\\
$\rightarrow$ One population-wide response trace per stage (no "single-cell resolution")
\textbf{Stage-specific processing steps and functional approximations:}
Initial: Continuous acoustic input signal $x(t)$
Filtering of behaviorally relevant frequencies by tympanal membrane\\
$\rightarrow$ Bandpass filter 5-30 kHz
Extraction of signal envelope (AM encoding) by receptor population\\
$\rightarrow$ Full-wave rectification, then lowpass filter 500 Hz
Logarithmically compressed intensity tuning curve of receptors\\
$\rightarrow$ Decibel transformation
Spike-frequency adaptation in receptor and interneuron populations\\
$\rightarrow$ Highpass filter 10 Hz
%
Next, the axons of the receptor neurons project into the metathoracic ganglion,
where they synapse onto local interneurons~(Fig.\,\ref{fig:pathway}b). Both the
local interneurons~(\bcite{hildebrandt2009origin};
\bcite{clemens2010intensity}) and, to a lesser extent, the receptors
themselves~(\bcite{fisch2012channel}) display spike-frequency adaptation in
response to sustained stimulus intensity levels. This mechanism allows for the
robust encoding of faster amplitude modulations against a slowly changing
overall baseline intensity. Functionally, this processing step resembles a
highpass filter
\begin{equation}
\adapt(t)\,=\,\db(t)\,*\,\hp, \qquad \fc\,=\,10\,\text{Hz}
\label{eq:highpass}
\end{equation}
%
over the logarithmically scaled envelope $\db(t)$. The projections of the local
interneurons remain within the metathoracic ganglion and synapse onto a small
number of ascending neurons~(Fig.\,\ref{fig:pathway}b).
\subsection{Feature extraction by individual neurons}
"Post-split portion" of the auditory pathway:\\
Ascending neurons (AN) $\rightarrow$ Central brain neurons
Diverse response/filter properties within AN population (\cite{clemens2011efficient})\\
- Pathway splitting into several parallel branches\\
- Expansion into a decorrelated higher-dimensional sound representation\\
$\rightarrow$ Individual neuron-specific response traces from this stage onwards
\textbf{Stage-specific processing steps and functional approximations:}
Template matching by individual ANs\\
@ -267,6 +259,20 @@ $\rightarrow$ Lowpass filter 1 Hz
%
\section{Two mechanisms driving the emergence of intensity-invariant song representation}
\textbf{Definition of invariance (general, systemic):}\\
Invariance = Property of a system to maintain a stable output with respect to a
set of relevant input parameters (variation to be represented) but irrespective
of one or more other parameters (variation to be discarded)
$\rightarrow$ Selective input-output decorrelation
\textbf{Definition of intensity invariance (context of neurons and songs):}\\
Intensity invariance = Time scale-selective sensitivity to certain faster
amplitude dynamics (song waveform, small-scale AM) and simultaneous
insensitivity to slower, more sustained amplitude dynamics (transient baseline,
large-scale AM, current overall intensity level)\\
$\rightarrow$ Without time scale selectivity, any fully intensity-invariant
output will be a flat line
\subsection{Logarithmic scaling \& spike-frequency adaptation}
Envelope $\env(t)$ $\xrightarrow{\text{dB}}$ Logarithmic $\db(t)$ $\xrightarrow{\hp}$ Adapted $\adapt(t)$