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Polished most of yesterday's work.

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29
cite.bib
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@ -77,7 +77,8 @@
volume={35}, volume={35},
pages={75--85}, pages={75--85},
year={2013}, year={2013},
} }# Cited
@article{clemens2011efficient, @article{clemens2011efficient,
title={Efficient transformation of an auditory population code in a small sensory system}, title={Efficient transformation of an auditory population code in a small sensory system},
author={Clemens, Jan and Kutzki, Olaf and Ronacher, Bernhard and Schreiber, Susanne and Wohlgemuth, Sandra}, author={Clemens, Jan and Kutzki, Olaf and Ronacher, Bernhard and Schreiber, Susanne and Wohlgemuth, Sandra},
@ -85,7 +86,8 @@
volume={108}, volume={108},
pages={13812--13817}, pages={13812--13817},
year={2011}, year={2011},
} }# Cited
@article{clemens2013feature, @article{clemens2013feature,
title={Feature extraction and integration underlying perceptual decision making during courtship behavior}, title={Feature extraction and integration underlying perceptual decision making during courtship behavior},
author={Clemens, Jan and Ronacher, Bernhard}, author={Clemens, Jan and Ronacher, Bernhard},
@ -93,7 +95,8 @@
volume={33}, volume={33},
pages={12136--12145}, pages={12136--12145},
year={2013}, year={2013},
} }# Cited
@article{clemens2012nonlinear, @article{clemens2012nonlinear,
title={Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper}, title={Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper},
author={Clemens, Jan and Wohlgemuth, Sandra and Ronacher, Bernhard}, author={Clemens, Jan and Wohlgemuth, Sandra and Ronacher, Bernhard},
@ -101,7 +104,8 @@
volume={32}, volume={32},
pages={10053--10062}, pages={10053--10062},
year={2012}, year={2012},
} }# Cited
@article{clemens2010intensity, @article{clemens2010intensity,
title={Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers}, title={Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers},
author={Clemens, Jan and Weschke, Gerroth and Vogel, Astrid and Ronacher, Bernhard}, author={Clemens, Jan and Weschke, Gerroth and Vogel, Astrid and Ronacher, Bernhard},
@ -297,7 +301,8 @@
volume={5}, volume={5},
pages={286}, pages={286},
year={2014}, year={2014},
} }# Cited
@article{hildebrandt2009origin, @article{hildebrandt2009origin,
title={The origin of adaptation in the auditory pathway of locusts is specific to cell type and function}, title={The origin of adaptation in the auditory pathway of locusts is specific to cell type and function},
author={Hildebrandt, K Jannis and Benda, Jan and Hennig, R Matthias}, author={Hildebrandt, K Jannis and Benda, Jan and Hennig, R Matthias},
@ -535,6 +540,17 @@
year={1976}, year={1976},
}# Cited }# Cited
@article{rokem2006spike,
title={Spike-timing precision underlies the coding efficiency of auditory receptor neurons},
author={Rokem, Ariel and Watzl, Sebastian and Gollisch, Tim and Stemmler, Martin and Herz, Andreas VM and Samengo, In{\'e}s},
journal={Journal of Neurophysiology},
volume={95},
number={4},
pages={2541--2552},
year={2006},
publisher={American Physiological Society}
}# Cited
@article{romer1976informationsverarbeitung, @article{romer1976informationsverarbeitung,
title={Die Informationsverarbeitung tympanaler Rezeptorelemente von Locusta migratoria (acrididae, orthoptera)}, title={Die Informationsverarbeitung tympanaler Rezeptorelemente von Locusta migratoria (acrididae, orthoptera)},
author={R{\"o}mer, Heiner}, author={R{\"o}mer, Heiner},
@ -604,7 +620,8 @@
volume={201}, volume={201},
pages={61--71}, pages={61--71},
year={2015}, year={2015},
} }# Cited
@incollection{rowell1972variable, @incollection{rowell1972variable,
title={The variable coloration of the acridoid grasshoppers.}, title={The variable coloration of the acridoid grasshoppers.},
author={Rowell, CH Fraser}, author={Rowell, CH Fraser},

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@ -374,6 +374,46 @@
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<bcf:citekey order="54" intorder="1">ronacher2015computational</bcf:citekey> <bcf:citekey order="54" intorder="1">clemens2011efficient</bcf:citekey>
<bcf:citekey order="55" intorder="1">rehbein1974structure</bcf:citekey> <bcf:citekey order="55" intorder="1">clemens2011efficient</bcf:citekey>
<bcf:citekey order="56" intorder="1">kalmring1975afferent</bcf:citekey> <bcf:citekey order="56" intorder="1">clemens2011efficient</bcf:citekey>
<bcf:citekey order="57" intorder="1">rehbein1976auditory</bcf:citekey> <bcf:citekey order="57" intorder="1">michelsen1971frequency</bcf:citekey>
<bcf:citekey order="58" intorder="1">eichendorf1980projections</bcf:citekey> <bcf:citekey order="58" intorder="1">windmill2008time</bcf:citekey>
<bcf:citekey order="59" intorder="1">clemens2011efficient</bcf:citekey> <bcf:citekey order="59" intorder="1">malkin2014energy</bcf:citekey>
<bcf:citekey order="60" intorder="1">clemens2011efficient</bcf:citekey> <bcf:citekey order="60" intorder="1">machens2001discrimination</bcf:citekey>
<bcf:citekey order="61" intorder="1">clemens2011efficient</bcf:citekey> <bcf:citekey order="61" intorder="1">machens2001representation</bcf:citekey>
<bcf:citekey order="62" intorder="1">michelsen1971frequency</bcf:citekey> <bcf:citekey order="62" intorder="1">suga1960peripheral</bcf:citekey>
<bcf:citekey order="63" intorder="1">windmill2008time</bcf:citekey> <bcf:citekey order="63" intorder="1">gollisch2002energy</bcf:citekey>
<bcf:citekey order="64" intorder="1">malkin2014energy</bcf:citekey> <bcf:citekey order="64" intorder="1">hildebrandt2009origin</bcf:citekey>
<bcf:citekey order="65" intorder="1">machens2001discrimination</bcf:citekey> <bcf:citekey order="65" intorder="1">clemens2010intensity</bcf:citekey>
<bcf:citekey order="66" intorder="1">machens2001representation</bcf:citekey> <bcf:citekey order="66" intorder="1">fisch2012channel</bcf:citekey>
<bcf:citekey order="67" intorder="1">suga1960peripheral</bcf:citekey>
<bcf:citekey order="68" intorder="1">gollisch2002energy</bcf:citekey>
<bcf:citekey order="69" intorder="1">hildebrandt2009origin</bcf:citekey>
<bcf:citekey order="70" intorder="1">clemens2010intensity</bcf:citekey>
<bcf:citekey order="71" intorder="1">fisch2012channel</bcf:citekey>
</bcf:section> </bcf:section>
<!-- SORTING TEMPLATES --> <!-- SORTING TEMPLATES -->
<bcf:sortingtemplate name="nyt"> <bcf:sortingtemplate name="nyt">

125
main.blg
View File

@ -1,61 +1,68 @@
[0] Config.pm:307> INFO - This is Biber 2.19 [0] Config.pm:307> INFO - This is Biber 2.19
[0] Config.pm:310> INFO - Logfile is 'main.blg' [0] Config.pm:310> INFO - Logfile is 'main.blg'
[37] biber:340> INFO - === Do Jan 22, 2026, 16:53:42 [34] biber:340> INFO - === Fr Jan 23, 2026, 15:55:15
[44] Biber.pm:419> INFO - Reading 'main.bcf' [43] Biber.pm:419> INFO - Reading 'main.bcf'
[74] Biber.pm:979> INFO - Found 50 citekeys in bib section 0 [70] Biber.pm:979> INFO - Found 52 citekeys in bib section 0
[80] Biber.pm:4419> INFO - Processing section 0 [75] Biber.pm:4419> INFO - Processing section 0
[85] Biber.pm:4610> INFO - Looking for bibtex file 'cite.bib' for section 0 [80] Biber.pm:4610> INFO - Looking for bibtex file 'cite.bib' for section 0
[86] bibtex.pm:1713> INFO - LaTeX decoding ... [81] bibtex.pm:1713> INFO - LaTeX decoding ...
[115] bibtex.pm:1519> INFO - Found BibTeX data source 'cite.bib' [108] bibtex.pm:1519> INFO - Found BibTeX data source 'cite.bib'
[278] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'normalization = NFD' with 'normalization = prenormalized' [264] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'variable = shifted' with 'variable = non-ignorable'
[278] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'variable = shifted' with 'variable = non-ignorable' [264] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'normalization = NFD' with 'normalization = prenormalized'
[278] Biber.pm:4239> INFO - Sorting list 'nyt/global//global/global' of type 'entry' with template 'nyt' and locale 'en-US' [264] Biber.pm:4239> INFO - Sorting list 'nyt/global//global/global' of type 'entry' with template 'nyt' and locale 'en-US'
[278] Biber.pm:4245> INFO - No sort tailoring available for locale 'en-US' [264] Biber.pm:4245> INFO - No sort tailoring available for locale 'en-US'
[300] bbl.pm:660> INFO - Writing 'main.bbl' with encoding 'UTF-8' [285] bbl.pm:660> INFO - Writing 'main.bbl' with encoding 'UTF-8'
[310] bbl.pm:763> INFO - Output to main.bbl [294] bbl.pm:763> INFO - Output to main.bbl
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 10, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 10, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 21, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 21, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 38, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 38, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 49, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 49, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 58, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 58, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 73, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 73, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 114, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 82, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 123, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 91, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 132, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 100, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 153, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 109, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 174, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 118, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 192, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 127, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 203, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 136, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 214, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 157, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 223, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 178, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 232, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 196, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 243, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 207, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 252, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 218, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 263, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 227, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 274, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 236, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 283, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 247, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 310, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 256, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 354, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 267, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 373, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 278, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 400, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 287, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 409, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 306, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 428, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 315, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 455, warning: 6 characters of junk seen at toplevel [294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 359, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 464, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 378, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 499, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 405, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 508, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 414, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 529, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 433, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 538, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 460, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 549, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 469, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 580, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 504, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 618, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 513, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 627, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 534, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 648, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 543, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 669, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 554, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 678, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 565, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 687, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 596, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 704, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 625, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 713, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 635, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 738, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 644, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 755, warning: 6 characters of junk seen at toplevel [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 665, warning: 6 characters of junk seen at toplevel
[310] Biber.pm:133> INFO - WARNINGS: 45 [295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 686, warning: 6 characters of junk seen at toplevel
[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 695, warning: 6 characters of junk seen at toplevel
[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 704, warning: 6 characters of junk seen at toplevel
[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 721, warning: 6 characters of junk seen at toplevel
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@ -191,19 +191,19 @@ degree of intensity invariance.
% (Still can't stand some of this paragraph's structure and wording...) % (Still can't stand some of this paragraph's structure and wording...)
Invariance to non-informative song variations is crucial for reliable song Invariance to non-informative song variations is crucial for reliable song
recognition; however, it is not sufficient to this end. In order to recognize a recognition; however, it is not sufficient to this end. In order to recognize a
conspecific song as such, the auditory system also needs to extract conspecific song as such, the auditory system needs to extract sufficiently
sufficiently informative features of the song pattern and then integrate the informative features of the song pattern and then integrate the gathered
gathered information into a final categorical percept. Previous authors have information into a final categorical percept. Previous authors have proposed a
proposed a functional model framework that describes this process --- feature functional model framework that describes this process --- feature extraction,
extraction, evidence accumulation, and categorical decision making --- in both evidence accumulation, and categorical decision making --- in both
crickets~(\bcite{clemens2013computational}) and crickets~(\bcite{clemens2013computational}, \bcite{hennig2014time}) and
grasshoppers~(\bcite{clemens2013feature}, review on grasshoppers~(\bcite{clemens2013feature}, review on
both:~\bcite{ronacher2015computational}). Their framework provides a both:~\bcite{ronacher2015computational}). Their framework provides a
comprehensible and biologically plausible account of the computational comprehensible and biologically plausible account of the computational
mechanisms required for species-specific song recognition. As such, it has mechanisms required for species-specific song recognition, which has served as
served as the inspiration for the development of the model pathway we propose the inspiration for the development of the model pathway we propose here. The
here. The existing framework relies on pulse trains as input signals, which existing framework relies on pulse trains as input signals, which were designed
were designed to capture the essential structural properties of natural song to capture the essential structural properties of natural song
envelopes~(\bcite{clemens2013feature}). In the first step, a bank of parallel envelopes~(\bcite{clemens2013feature}). In the first step, a bank of parallel
linear-nonlinear feature detectors is applied to the input signal. Each feature linear-nonlinear feature detectors is applied to the input signal. Each feature
detector consists of a convolutional filter and a subsequent sigmoidal detector consists of a convolutional filter and a subsequent sigmoidal
@ -215,77 +215,41 @@ animal to the presented input signal. Our model pathway adopts the general
structure of the existing framework but modifies it in several key aspects. The structure of the existing framework but modifies it in several key aspects. The
convolutional filters, which have previously been fitted to behavioral data for convolutional filters, which have previously been fitted to behavioral data for
each individual species~(\bcite{clemens2013computational}), are replaced by a each individual species~(\bcite{clemens2013computational}), are replaced by a
larger, more general set of unfitted Gabor kernels in order to cover a wide larger, generic set of unfitted Gabor basis functions in order to cover a wide
range of possible song features for as many species as possible. Gabor kernels range of possible song features across different species. Gabor functions
closely resemble the structure of the filters used in previous approximate the general structure of the filters used in the existing framework
models~(\bcite{clemens2013computational}, \bcite{clemens2013feature}, as well as the filter functions found in various auditory
\bcite{hennig2014time}) as well as the measured spike-triggered averages of neurons~(\bcite{rokem2006spike}, \bcite{clemens2011efficient},
higher-order interneurons in the grasshopper auditory \bcite{clemens2012nonlinear}). The fitted sigmoidal nonlinearities in the
system~(\bcite{clemens2011efficient}). The fitted sigmoidal nonlinearities in existing framework consistently exhibited very steep slopes and are therefore
the existing framework consistently exhibited very steep replaced by shifted Heaviside step-functions, which results in a binarization
slopes~(\bcite{clemens2013computational}, \bcite{clemens2013feature}) and are of the feature detector outputs. Another, more substantial modification is that
therefore approximated by simpler shifted Heaviside step-functions in our the feature detector outputs are temporally averaged in a way that does not
model. Another, more substantial modification is that the outputs of the condense them into single feature values but retains their time-varying
feature detectors are temporally averaged in a way that does not condense them structure. This is in line with the fact that songs are no discrete units but
into single feature values but retains their time-varying structure. A part of a continuous acoustic stream that the auditory system has to process in
time-varying feature representation introduces a certain time constant until real time. Moreover, a time-varying feature representation only stabilizes
the representation stabilizes after the onset of a song. This reflects the after a certain delay following the onset of a song, which emphasizes the
continuous nature of acoustic input and auditory perception, as songs are not temporal dynamics of evidence accumulation towards a final categorical
received as discrete units but processed continuously prior to the final decision. The most notable difference between our model pathway and the
categorical decision to initate a behavioral response~(SOURCE LOL). The existing framework, however, lays in the addition of a physiologically inspired
most notable difference between our model pathway and the existing framework, preprocessing portion, whose starting point corresponds to the initial
however, lays in the addition of a physiologically inspired preprocessing reception of airborne sound waves. This allows the model to operate on
portion, whose starting point corresponds to the initial reception of airborne unmodified recordings of natural grasshopper songs instead of condensed pulse
sound waves. This allows the model to operate on unmodified recordings of train approximations, which widens its scope towards more realistic,
natural grasshopper songs instead of condensed pulse train approximations, ecologically relevant scenarios. For instance, we were able to investigate the
which widens its scope towards more realistic, ecologically relevant scenarios. contribution of different processing stages to the emergence of
For instance, we were able to investigate the contribution of different intensity-invariant song representations based on actual field recordings of
processing stages to the emergence of intensity-invariant song representations songs at different distances from the sender.
based on actual field recordings of songs at different distances from the % Forgive me, it's friday.
sender. In the following, we outline the structure of the proposed model of the
grasshopper auditory pathway, from the initial sound reception at the tympanal
membrane up to the generation of a high-dimensional, time-varying feature
representation that is suitable for species-specific song recognition. We
provide a side-by-side account of the known physiological processing steps and
% Invariance to non-informative song variations is crucial for reliable song their functional approximation by basic mathematical operations. We then
% recognition; however, it is not sufficient to this end. In order to recognize a elaborate on two key mechanisms that drive the emergence of intensity-invariant
% conspecific song as such, the auditory system needs to extract sufficiently song representations within the auditory pathway.
% informative features of the song pattern and then integrate the gathered
% information into a final categorical percept. Previous authors have proposed a
% biologically plausible functional framework that describes this process ---
% feature extraction, evidence accumulation, and categorical decision making ---
% in both crickets~(\bcite{clemens2013computational}) and
% grasshoppers~(\bcite{clemens2013feature}, review on
% both:~\bcite{ronacher2015computational}). Their framework provides a
% comprehensive, generalizable account of the computational mechanisms required
% for species-specific song recognition, which has served as inspiration for the development of our own model of the grasshopper auditory
% pathway, where it now constitutes the foundation of the recognition mechanism.
% According to the existing framework, a bank of parallel linear-nonlinear
% feature detectors is initially applied to the input signal. Each feature
% detector consists of a convolutional filter and a subsequent sigmoidal
% nonlinearity. The outputs of these feature detectors are temporally averaged to
% obtain a single feature value per detector, which is assigned a specific
% weight. The linear combination of weighted feature values results in a single
% preference value, which then serves as predictor for the behavioral response of
% the animal. The model we propose here adopts this general structure but
% modifies and several key aspects.
\textbf{Precursor work for model construction (special thanks to authors):}
Linear-nonlinear modelling of behavioral responses to artificial songs\\
- Feature expansion as implemented in our model: Major contribution!\\
- Bank of linear filters, nonlinearity, temporal integration, feature weighting\\
$\rightarrow$ \cite{clemens2013computational} (crickets)\\
$\rightarrow$ \cite{clemens2013feature} (grasshoppers)\\
$\rightarrow$ \cite{ronacher2015computational}\\
\textbf{Own advancements/key differences}:\\
1) Used boxcar functions as artificial "songs" (focus on few key parameters)\\
$\rightarrow$ Now actual, variable songs (as naturalistic as possible)\\
2) Fitted filters to behavioral data\\
$\rightarrow$ More general, simpler, unfitted formalized Gabor filter bank
% SCRAPPED UNTIL FURTHER NOTICE: % SCRAPPED UNTIL FURTHER NOTICE:
% Multi-species, multi-individual communally inhabited environments\\ % Multi-species, multi-individual communally inhabited environments\\