Good day. Finished invariance introduction paragraph. Added more sources.
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83
main.tex
83
main.tex
@@ -93,10 +93,11 @@ formalization of the underlying structures and mechanisms.
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One sensory system about which extensive information has been gathered over the
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years is the auditory system of grasshoppers~(\textit{Acrididae}). Grasshoppers
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rely on their sense of hearing primarily for intraspecific communication, which
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includes mate attraction and evaluation~(\bcite{helversen1972gesang},
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\bcite{helversen1993absolute}, \bcite{helversen1997recognition}), sender
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localization~(\bcite{helversen1988interaural}), courtship display~(SOURCE),
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rival deterrence~(\bcite{greenfield1993acoustic}), and loss-of-signal predator
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includes mate attraction~(\bcite{helversen1972gesang}) and
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evaluation~(\bcite{stange2012grasshopper}), sender
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localization~(\bcite{helversen1988interaural}), courtship
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display~(\bcite{elsner1968neuromuskularen}), rival
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deterrence~(\bcite{greenfield1993acoustic}), and loss-of-signal predator
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alarm~(SOURCE). In accordance with this rich behavioral repertoire,
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grasshoppers have evolved a variety of sound production mechanisms to generate
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acoustic communication signals for different contexts and ranges using their
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@@ -131,34 +132,62 @@ forewings~(\bcite{helversen1977stridulatory}, \bcite{stumpner1994song},
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a brief pulse of sound. Multiple pulses make up a syllable; and the alternation
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of syllables and relatively quiet pauses forms a characteristic, through noisy,
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waveform pattern. Song recognition depends on certain temporal and structural
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properties of this pattern, such as the slope of pulse
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onsets~(\bcite{helversen1993absolute}), the accentuation of syllable
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onsets~(\bcite{balakrishnan2001song}, \bcite{helversen2004acoustic}), and the
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ratio of syllable duration to pause duration~(\bcite{helversen1972gesang}).
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This signal design
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parameters of this pattern, such as the duration of syllables and
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pauses~(\bcite{helversen1972gesang}), the slope of pulse
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onsets~(\bcite{helversen1993absolute}), and the accentuation of syllable onsets
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relative to the preceeding pause~(\bcite{balakrishnan2001song},
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\bcite{helversen2004acoustic}). The amplitude modulation, or envelope, of the
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song is sufficient for recognition~(\bcite{helversen1997recognition}). However,
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the essential recognition cues can vary considerably with external physical
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factors, which requires the auditory system to be invariant to such variations
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in order to reliably recognize songs under different conditions. For instance,
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the temporal structure of grasshopper songs warps with
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temperature~(\bcite{skovmand1983song}). The auditory system can compensate for
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this variability by reading out relative temporal relationships rather than
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absolute time intervals~(\bcite{creutzig2009timescale},
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\bcite{creutzig2010timescale}), as those remain relatively constant across
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different temperatures~(\bcite{helversen1972gesang}). Another, perhaps even
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more fundamental external source of song variability lays in the attenuation of
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sound intensity with increasing distance to the sender. Sound attenuation
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depends on both the frequency content of the signal and the vegetation of the
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habitat~(\bcite{michelsen1978sound}). For the receiving auditory system, this
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has two major implications. First, the amplitude dynamics of the song pattern
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are steadily degraded over distance, which limits the effective communication
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range of grasshoppers to~\mbox{1\,-\,2\,m} in their typical grassland
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habitats~(\bcite{lang2000acoustic}). Second, the overall intensity level of
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songs at the receiver's position varies depending on the location of the
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sender, which should ideally not affect the recognition of the song pattern.
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This neccessitates that the auditory system achieves a certain degree of
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intensity invariance --- a time scale-selective sensitivity to faster amplitude
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dynamics and simultaneous insensitivity to slower, more sustained amplitude
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dynamics. Intensity invariance in different auditory systems is often
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associated with neuronal adaptation~(\bcite{benda2008spike},
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\bcite{barbour2011intensity}, \bcite{ozeri2018fast}), which represents an
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important principle of dynamic sensory systems in
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general~(\bcite{benda2021neural}). In the grasshopper auditory system, a number
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of neuron types along the processing chain exhibit spike-frequency adaptation
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in response to sustained stimulus
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intensities~(\bcite{romer1976informationsverarbeitung},
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\bcite{gollisch2002energy}, \bcite{hildebrandt2009origin},
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\bcite{clemens2010intensity}) and thus likely contribute to the emergence of
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intensity-invariant song representations. This means that intensity invariance
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is not the result of a single processing step but rather a gradual process, in
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which different neuronal populations contribute to varying
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degrees~(\bcite{clemens2010intensity}) and by different
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mechanisms~(\bcite{hildebrandt2009origin}). Approximating this process within a
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functional model framework thus requires a considerable amount of
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simplification. In this work, we demonstrate that even a small number of basic
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physiologically inspired signal transformations --- specifically, pairs of
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nonlinear and linear operations --- is sufficient to achieve a meaningful
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degree of intensity invariance. Due to the critical role of intensity-invariant
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representations for reliable song recognition, these transformations are at the
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core of the proposed model framework.
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The
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amplitude modulation, or envelope, of the song is sufficient for successful
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recognition~(\bcite{helversen1997recognition}). Because grasshoppers are
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poikilothermic, the temporal structure of their songs warps with
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temperature~(\bcite{skovmand1983song}), which poses a major challenge for the
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auditory system.
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Songs = Amplitude-modulated (AM) broad-band acoustic signals\\
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- Generated by stridulatory movement of hindlegs against forewings\\
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- Shorter time scales: Characteristic temporal waveform pattern\\
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- Longer time scales: High degree of periodicity (pattern repetition)\\
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- Sound propagation: Signal intensity varies strongly with distance to sender\\
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- Ectothermy: Temporal structure warps with temperature\\
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$\rightarrow$ Sensory constraints imposed by properties of the acoustic signal itself
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Multi-species, multi-individual communally inhabited environments\\
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- Temporal overlap: Simultaneous singing across individuals/species common\\
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- Frequency overlap: No/hardly any niche speciation into frequency bands\\
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- Frequency overlap: Little speciation into frequency bands (likely unused)\\
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- "Biotic noise": Hetero-/conspecifics ("Another one's songs are my noise")\\
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- "Abiotic noise": Wind, water, vegetation, anthropogenic\\
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- Effects of habitat structure on sound propagation (landscape - soundscape)\\
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