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[]\OT1/cmr/bx/n/17.28 Two mech-a-nisms driv-ing the emer-gence of intensity-
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@ -138,9 +138,9 @@ $\rightarrow$ More general, simpler, unfitted formalized Gabor filter bank
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The grasshopper auditory system has been studied extensively over the past
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decades; and a corresponding number of involved neuron types has been
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described~(\bcite{rehbein1974structure}; \bcite{kalmring1975afferent};
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\bcite{rehbein1976auditory}; \bcite{eichendorf1980projections}). The model we
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propose here focuses on the pathway responsible for song recognition and
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assumes a strict feed-forward organization of three consecutive neuronal
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\bcite{rehbein1976auditory}; \bcite{eichendorf1980projections}). The functional
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model we propose here focuses on the pathway responsible for song recognition
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and assumes a strict feed-forward organization of three consecutive neuronal
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populations: Peripheral auditory receptor neurons~\mbox{(1st order)}, local
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interneurons of the metathoracic ganglion~\mbox{(2nd order)}, and ascending
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neurons~\mbox{(3rd order)} projecting towards the supraesophageal ganglion.
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@ -150,8 +150,12 @@ within the population of ascending neurons compared to receptors and local
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interneurons, which exhibit almost identical filter characteristics,
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respectively~(\bcite{clemens2011efficient}). Based on these findings, the model
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pathway can be divided into two distinct portions~(Fig.\,\ref{fig:pathway}c+d).
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The pre-processing portion comprises the tympanal membrane, receptors, and
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local interneurons. Due to the similar response properties within the
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In the preprocessing portion, generated
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The preprocessing portion comprises the tympanal membrane, receptors, and
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local interneurons. The different signal representations
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Due to the similar response properties within the involved
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1) "Pre-split portion" of the auditory pathway:\\
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@ -226,10 +230,16 @@ highpass filter
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\end{equation}
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over the logarithmically scaled envelope $\db(t)$. The projections of the local
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interneurons remain within the metathoracic ganglion and synapse onto a small
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number of ascending neurons~(Fig.\,\ref{fig:pathway}b).
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number of ascending neurons~(Fig.\,\ref{fig:pathway}b), which marks the
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transition between the preprocessing stream and the parallel processing stream
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of the model pathway.
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\subsection{Feature extraction by individual neurons}
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The small population of ascending neurons
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\textbf{Stage-specific processing steps and functional approximations:}
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Template matching by individual ANs\\
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