Good day. Finished invariance introduction paragraph. Added more sources.

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j-hartling
2026-01-15 17:43:32 +01:00
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@@ -93,10 +93,11 @@ formalization of the underlying structures and mechanisms.
One sensory system about which extensive information has been gathered over the
years is the auditory system of grasshoppers~(\textit{Acrididae}). Grasshoppers
rely on their sense of hearing primarily for intraspecific communication, which
includes mate attraction and evaluation~(\bcite{helversen1972gesang},
\bcite{helversen1993absolute}, \bcite{helversen1997recognition}), sender
localization~(\bcite{helversen1988interaural}), courtship display~(SOURCE),
rival deterrence~(\bcite{greenfield1993acoustic}), and loss-of-signal predator
includes mate attraction~(\bcite{helversen1972gesang}) and
evaluation~(\bcite{stange2012grasshopper}), sender
localization~(\bcite{helversen1988interaural}), courtship
display~(\bcite{elsner1968neuromuskularen}), rival
deterrence~(\bcite{greenfield1993acoustic}), and loss-of-signal predator
alarm~(SOURCE). In accordance with this rich behavioral repertoire,
grasshoppers have evolved a variety of sound production mechanisms to generate
acoustic communication signals for different contexts and ranges using their
@@ -131,34 +132,62 @@ forewings~(\bcite{helversen1977stridulatory}, \bcite{stumpner1994song},
a brief pulse of sound. Multiple pulses make up a syllable; and the alternation
of syllables and relatively quiet pauses forms a characteristic, through noisy,
waveform pattern. Song recognition depends on certain temporal and structural
properties of this pattern, such as the slope of pulse
onsets~(\bcite{helversen1993absolute}), the accentuation of syllable
onsets~(\bcite{balakrishnan2001song}, \bcite{helversen2004acoustic}), and the
ratio of syllable duration to pause duration~(\bcite{helversen1972gesang}).
This signal design
parameters of this pattern, such as the duration of syllables and
pauses~(\bcite{helversen1972gesang}), the slope of pulse
onsets~(\bcite{helversen1993absolute}), and the accentuation of syllable onsets
relative to the preceeding pause~(\bcite{balakrishnan2001song},
\bcite{helversen2004acoustic}). The amplitude modulation, or envelope, of the
song is sufficient for recognition~(\bcite{helversen1997recognition}). However,
the essential recognition cues can vary considerably with external physical
factors, which requires the auditory system to be invariant to such variations
in order to reliably recognize songs under different conditions. For instance,
the temporal structure of grasshopper songs warps with
temperature~(\bcite{skovmand1983song}). The auditory system can compensate for
this variability by reading out relative temporal relationships rather than
absolute time intervals~(\bcite{creutzig2009timescale},
\bcite{creutzig2010timescale}), as those remain relatively constant across
different temperatures~(\bcite{helversen1972gesang}). Another, perhaps even
more fundamental external source of song variability lays in the attenuation of
sound intensity with increasing distance to the sender. Sound attenuation
depends on both the frequency content of the signal and the vegetation of the
habitat~(\bcite{michelsen1978sound}). For the receiving auditory system, this
has two major implications. First, the amplitude dynamics of the song pattern
are steadily degraded over distance, which limits the effective communication
range of grasshoppers to~\mbox{1\,-\,2\,m} in their typical grassland
habitats~(\bcite{lang2000acoustic}). Second, the overall intensity level of
songs at the receiver's position varies depending on the location of the
sender, which should ideally not affect the recognition of the song pattern.
This neccessitates that the auditory system achieves a certain degree of
intensity invariance --- a time scale-selective sensitivity to faster amplitude
dynamics and simultaneous insensitivity to slower, more sustained amplitude
dynamics. Intensity invariance in different auditory systems is often
associated with neuronal adaptation~(\bcite{benda2008spike},
\bcite{barbour2011intensity}, \bcite{ozeri2018fast}), which represents an
important principle of dynamic sensory systems in
general~(\bcite{benda2021neural}). In the grasshopper auditory system, a number
of neuron types along the processing chain exhibit spike-frequency adaptation
in response to sustained stimulus
intensities~(\bcite{romer1976informationsverarbeitung},
\bcite{gollisch2002energy}, \bcite{hildebrandt2009origin},
\bcite{clemens2010intensity}) and thus likely contribute to the emergence of
intensity-invariant song representations. This means that intensity invariance
is not the result of a single processing step but rather a gradual process, in
which different neuronal populations contribute to varying
degrees~(\bcite{clemens2010intensity}) and by different
mechanisms~(\bcite{hildebrandt2009origin}). Approximating this process within a
functional model framework thus requires a considerable amount of
simplification. In this work, we demonstrate that even a small number of basic
physiologically inspired signal transformations --- specifically, pairs of
nonlinear and linear operations --- is sufficient to achieve a meaningful
degree of intensity invariance. Due to the critical role of intensity-invariant
representations for reliable song recognition, these transformations are at the
core of the proposed model framework.
The
amplitude modulation, or envelope, of the song is sufficient for successful
recognition~(\bcite{helversen1997recognition}). Because grasshoppers are
poikilothermic, the temporal structure of their songs warps with
temperature~(\bcite{skovmand1983song}), which poses a major challenge for the
auditory system.
Songs = Amplitude-modulated (AM) broad-band acoustic signals\\
- Generated by stridulatory movement of hindlegs against forewings\\
- Shorter time scales: Characteristic temporal waveform pattern\\
- Longer time scales: High degree of periodicity (pattern repetition)\\
- Sound propagation: Signal intensity varies strongly with distance to sender\\
- Ectothermy: Temporal structure warps with temperature\\
$\rightarrow$ Sensory constraints imposed by properties of the acoustic signal itself
Multi-species, multi-individual communally inhabited environments\\
- Temporal overlap: Simultaneous singing across individuals/species common\\
- Frequency overlap: No/hardly any niche speciation into frequency bands\\
- Frequency overlap: Little speciation into frequency bands (likely unused)\\
- "Biotic noise": Hetero-/conspecifics ("Another one's songs are my noise")\\
- "Abiotic noise": Wind, water, vegetation, anthropogenic\\
- Effects of habitat structure on sound propagation (landscape - soundscape)\\