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[]\OT1/cmr/m/n/12 Similar re-sponse/filter prop-er-ties within re-cep-tor/interneuron pop-u-la-tions ([]Clemens, Kutzki,
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@ -138,9 +138,9 @@ $\rightarrow$ More general, simpler, unfitted formalized Gabor filter bank
The grasshopper auditory system has been studied extensively over the past
decades; and a corresponding number of involved neuron types has been
described~(\bcite{rehbein1974structure}; \bcite{kalmring1975afferent};
\bcite{rehbein1976auditory}; \bcite{eichendorf1980projections}). The model we
propose here focuses on the pathway responsible for song recognition and
assumes a strict feed-forward organization of three consecutive neuronal
\bcite{rehbein1976auditory}; \bcite{eichendorf1980projections}). The functional
model we propose here focuses on the pathway responsible for song recognition
and assumes a strict feed-forward organization of three consecutive neuronal
populations: Peripheral auditory receptor neurons~\mbox{(1st order)}, local
interneurons of the metathoracic ganglion~\mbox{(2nd order)}, and ascending
neurons~\mbox{(3rd order)} projecting towards the supraesophageal ganglion.
@ -150,8 +150,12 @@ within the population of ascending neurons compared to receptors and local
interneurons, which exhibit almost identical filter characteristics,
respectively~(\bcite{clemens2011efficient}). Based on these findings, the model
pathway can be divided into two distinct portions~(Fig.\,\ref{fig:pathway}c+d).
The pre-processing portion comprises the tympanal membrane, receptors, and
local interneurons. Due to the similar response properties within the
In the preprocessing portion, generated
The preprocessing portion comprises the tympanal membrane, receptors, and
local interneurons. The different signal representations
Due to the similar response properties within the involved
1) "Pre-split portion" of the auditory pathway:\\
@ -226,10 +230,16 @@ highpass filter
\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).
number of ascending neurons~(Fig.\,\ref{fig:pathway}b), which marks the
transition between the preprocessing stream and the parallel processing stream
of the model pathway.
\subsection{Feature extraction by individual neurons}
The small population of ascending neurons
\textbf{Stage-specific processing steps and functional approximations:}
Template matching by individual ANs\\