diff --git a/cite.bib b/cite.bib index 639d644..53b7b12 100644 --- a/cite.bib +++ b/cite.bib @@ -77,7 +77,8 @@ volume={35}, pages={75--85}, year={2013}, -} +}# Cited + @article{clemens2011efficient, 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}, @@ -85,7 +86,8 @@ volume={108}, pages={13812--13817}, year={2011}, -} +}# Cited + @article{clemens2013feature, title={Feature extraction and integration underlying perceptual decision making during courtship behavior}, author={Clemens, Jan and Ronacher, Bernhard}, @@ -93,7 +95,8 @@ volume={33}, pages={12136--12145}, year={2013}, -} +}# Cited + @article{clemens2012nonlinear, title={Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper}, author={Clemens, Jan and Wohlgemuth, Sandra and Ronacher, Bernhard}, @@ -101,7 +104,8 @@ volume={32}, pages={10053--10062}, year={2012}, -} +}# Cited + @article{clemens2010intensity, 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}, @@ -297,7 +301,8 @@ volume={5}, pages={286}, year={2014}, -} +}# Cited + @article{hildebrandt2009origin, 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}, @@ -535,6 +540,17 @@ year={1976}, }# 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, title={Die Informationsverarbeitung tympanaler Rezeptorelemente von Locusta migratoria (acrididae, orthoptera)}, author={R{\"o}mer, Heiner}, @@ -604,7 +620,8 @@ volume={201}, pages={61--71}, year={2015}, -} +}# Cited + @incollection{rowell1972variable, title={The variable coloration of the acridoid grasshoppers.}, author={Rowell, CH Fraser}, diff --git a/literature/Rokem_Watzl_Gollisch_Stemmler_Herz_Samengo_2006.pdf b/literature/Rokem_Watzl_Gollisch_Stemmler_Herz_Samengo_2006.pdf new file mode 100644 index 0000000..c4559ec Binary files /dev/null and b/literature/Rokem_Watzl_Gollisch_Stemmler_Herz_Samengo_2006.pdf differ diff --git a/main.aux b/main.aux index 48defc6..569099f 100644 --- a/main.aux +++ b/main.aux @@ -112,6 +112,8 @@ \abx@aux@page{28}{2} \abx@aux@cite{0}{clemens2013computational} \abx@aux@segm{0}{0}{clemens2013computational} +\abx@aux@cite{0}{hennig2014time} +\abx@aux@segm{0}{0}{hennig2014time} \abx@aux@cite{0}{clemens2013feature} \abx@aux@segm{0}{0}{clemens2013feature} \abx@aux@cite{0}{ronacher2015computational} @@ -120,18 +122,12 @@ \abx@aux@segm{0}{0}{clemens2013feature} \abx@aux@cite{0}{clemens2013computational} \abx@aux@segm{0}{0}{clemens2013computational} -\abx@aux@cite{0}{clemens2013computational} -\abx@aux@segm{0}{0}{clemens2013computational} -\abx@aux@cite{0}{clemens2013feature} -\abx@aux@segm{0}{0}{clemens2013feature} -\abx@aux@cite{0}{hennig2014time} -\abx@aux@segm{0}{0}{hennig2014time} +\abx@aux@cite{0}{rokem2006spike} +\abx@aux@segm{0}{0}{rokem2006spike} \abx@aux@cite{0}{clemens2011efficient} \abx@aux@segm{0}{0}{clemens2011efficient} -\abx@aux@cite{0}{clemens2013computational} -\abx@aux@segm{0}{0}{clemens2013computational} -\abx@aux@cite{0}{clemens2013feature} -\abx@aux@segm{0}{0}{clemens2013feature} +\abx@aux@cite{0}{clemens2012nonlinear} +\abx@aux@segm{0}{0}{clemens2012nonlinear} \abx@aux@page{29}{3} \abx@aux@page{30}{3} \abx@aux@page{31}{3} @@ -148,21 +144,7 @@ \abx@aux@page{42}{3} \abx@aux@page{43}{3} \abx@aux@page{44}{3} -\abx@aux@cite{0}{clemens2013computational} -\abx@aux@segm{0}{0}{clemens2013computational} -\abx@aux@cite{0}{clemens2013feature} -\abx@aux@segm{0}{0}{clemens2013feature} -\abx@aux@cite{0}{ronacher2015computational} -\abx@aux@segm{0}{0}{ronacher2015computational} -\abx@aux@page{45}{4} -\abx@aux@page{46}{4} -\abx@aux@page{47}{4} -\abx@aux@page{48}{4} -\abx@aux@page{49}{4} -\abx@aux@page{50}{4} -\abx@aux@page{51}{4} -\abx@aux@page{52}{4} -\abx@aux@page{53}{4} +\abx@aux@page{45}{3} \abx@aux@cite{0}{rehbein1974structure} \abx@aux@segm{0}{0}{rehbein1974structure} \abx@aux@cite{0}{kalmring1975afferent} @@ -171,21 +153,24 @@ \abx@aux@segm{0}{0}{rehbein1976auditory} \abx@aux@cite{0}{eichendorf1980projections} \abx@aux@segm{0}{0}{eichendorf1980projections} +\abx@aux@page{46}{4} +\abx@aux@page{47}{4} +\abx@aux@page{48}{4} +\abx@aux@page{49}{4} \abx@aux@cite{0}{clemens2011efficient} \abx@aux@segm{0}{0}{clemens2011efficient} \abx@aux@cite{0}{clemens2011efficient} \abx@aux@segm{0}{0}{clemens2011efficient} \abx@aux@cite{0}{clemens2011efficient} \abx@aux@segm{0}{0}{clemens2011efficient} -\abx@aux@page{54}{5} \@writefile{toc}{\contentsline {section}{\numberline {2}Developing a functional model of\\the grasshopper auditory pathway}{5}{}\protected@file@percent } +\abx@aux@page{50}{5} +\abx@aux@page{51}{5} +\abx@aux@page{52}{5} +\abx@aux@page{53}{5} +\abx@aux@page{54}{5} \abx@aux@page{55}{5} \abx@aux@page{56}{5} -\abx@aux@page{57}{5} -\abx@aux@page{58}{5} -\abx@aux@page{59}{5} -\abx@aux@page{60}{5} -\abx@aux@page{61}{5} \abx@aux@cite{0}{michelsen1971frequency} \abx@aux@segm{0}{0}{michelsen1971frequency} \abx@aux@cite{0}{windmill2008time} @@ -199,10 +184,11 @@ \@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Grasshopper auditory system}}{6}{}\protected@file@percent } \newlabel{fig:pathway}{{1}{6}{}{}{}} \@writefile{toc}{\contentsline {subsection}{\numberline {2.1}Population-driven signal pre-processing}{6}{}\protected@file@percent } -\abx@aux@page{62}{6} -\abx@aux@page{63}{6} -\abx@aux@page{64}{6} +\abx@aux@page{57}{6} +\abx@aux@page{58}{6} +\abx@aux@page{59}{6} \newlabel{eq:bandpass}{{1}{6}{}{}{}} +\abx@aux@page{60}{6} \abx@aux@cite{0}{suga1960peripheral} \abx@aux@segm{0}{0}{suga1960peripheral} \abx@aux@cite{0}{gollisch2002energy} @@ -213,23 +199,22 @@ \abx@aux@segm{0}{0}{clemens2010intensity} \abx@aux@cite{0}{fisch2012channel} \abx@aux@segm{0}{0}{fisch2012channel} +\abx@aux@page{61}{7} +\newlabel{eq:env}{{2}{7}{}{}{}} +\abx@aux@page{62}{7} +\abx@aux@page{63}{7} +\newlabel{eq:log}{{3}{7}{}{}{}} +\abx@aux@page{64}{7} \abx@aux@page{65}{7} \abx@aux@page{66}{7} -\newlabel{eq:env}{{2}{7}{}{}{}} -\abx@aux@page{67}{7} -\abx@aux@page{68}{7} -\newlabel{eq:log}{{3}{7}{}{}{}} -\abx@aux@page{69}{7} -\abx@aux@page{70}{7} -\abx@aux@page{71}{7} \newlabel{eq:highpass}{{4}{7}{}{}{}} \@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Feature extraction by individual neurons}{7}{}\protected@file@percent } -\newlabel{eq:gabor}{{5}{8}{}{}{}} +\newlabel{eq:gabor}{{5}{7}{}{}{}} \newlabel{eq:conv}{{6}{8}{}{}{}} \newlabel{eq:binary}{{7}{8}{}{}{}} \newlabel{eq:lowpass}{{8}{8}{}{}{}} \@writefile{toc}{\contentsline {section}{\numberline {3}Two mechanisms driving the emergence of intensity-invariant song representation}{8}{}\protected@file@percent } -\@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Logarithmic scaling \& spike-frequency adaptation}{9}{}\protected@file@percent } +\@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Logarithmic scaling \& spike-frequency adaptation}{8}{}\protected@file@percent } \newlabel{eq:toy_env}{{9}{9}{}{}{}} \newlabel{eq:toy_snr}{{10}{9}{}{}{}} \newlabel{eq:toy_log}{{11}{9}{}{}{}} @@ -242,5 +227,5 @@ \@writefile{toc}{\contentsline {section}{\numberline {4}Discriminating species-specific song\\patterns in feature space}{12}{}\protected@file@percent } \@writefile{toc}{\contentsline {section}{\numberline {5}Conclusions \& outlook}{12}{}\protected@file@percent } \gdef\svg@ink@ver@settings{{\m@ne }{inkscape}{\m@ne }} -\abx@aux@read@bbl@mdfivesum{2CD181E0E0681A6640A954B249FF0A14} +\abx@aux@read@bbl@mdfivesum{770A017F2D3D3FC54E26790F2CF043B4} \gdef \@abspage@last{12} diff --git a/main.bbl b/main.bbl index ac183a6..eafb15f 100644 --- a/main.bbl +++ b/main.bbl @@ -374,6 +374,46 @@ \field{pages}{285\bibrangedash 297} \range{pages}{13} \endentry + \entry{clemens2012nonlinear}{article}{} + \name{author}{3}{ul=2}{% + {{un=0,uniquepart=base,hash=a2d5d9f296e8da1c1447cc2d86f121ea}{% + family={Clemens}, + familyi={C\bibinitperiod}, + given={Jan}, + giveni={J\bibinitperiod}, + givenun=0}}% + {{un=0,uniquepart=base,hash=fd61d22c879cb152e83f6dbf3f68e7ab}{% + family={Wohlgemuth}, + familyi={W\bibinitperiod}, + given={Sandra}, + giveni={S\bibinitperiod}, + givenun=0}}% + {{un=0,uniquepart=base,hash=4ce9349f95ced7a4831a5efa0fe5b00f}{% + family={Ronacher}, + familyi={R\bibinitperiod}, + given={Bernhard}, + giveni={B\bibinitperiod}, + givenun=0}}% + } + \strng{namehash}{5510ff12b92bcacf2fb72e11fc87d00e} + \strng{fullhash}{5510ff12b92bcacf2fb72e11fc87d00e} + \strng{bibnamehash}{5510ff12b92bcacf2fb72e11fc87d00e} + \strng{authorbibnamehash}{5510ff12b92bcacf2fb72e11fc87d00e} + \strng{authornamehash}{5510ff12b92bcacf2fb72e11fc87d00e} + \strng{authorfullhash}{5510ff12b92bcacf2fb72e11fc87d00e} + \field{sortinit}{C} + \field{sortinithash}{4d103a86280481745c9c897c925753c0} + \field{extradatescope}{labelyear} + \field{labeldatesource}{} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{journaltitle}{J Neurosci} + \field{title}{Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper} + \field{volume}{32} + \field{year}{2012} + \field{pages}{10053\bibrangedash 10062} + \range{pages}{10} + \endentry \entry{creutzig2010timescale}{article}{} \name{author}{6}{ul=2}{% {{un=0,uniquepart=base,hash=71af6b4cd2af12ffee537a278c26fe9c}{% @@ -1504,6 +1544,68 @@ \field{pages}{263\bibrangedash 280} \range{pages}{18} \endentry + \entry{rokem2006spike}{article}{} + \name{author}{6}{}{% + {{un=0,uniquepart=base,hash=848bbb8a883bec42d46ee442da523381}{% + family={Rokem}, + familyi={R\bibinitperiod}, + given={Ariel}, + giveni={A\bibinitperiod}, + givenun=0}}% + {{un=0,uniquepart=base,hash=c1256b1055cc56c0c2fae3dbd5c7d320}{% + family={Watzl}, + familyi={W\bibinitperiod}, + given={Sebastian}, + giveni={S\bibinitperiod}, + givenun=0}}% + {{un=0,uniquepart=base,hash=376cc9f4803f0227f679089e863cbce8}{% + family={Gollisch}, + familyi={G\bibinitperiod}, + given={Tim}, + giveni={T\bibinitperiod}, + givenun=0}}% + {{un=0,uniquepart=base,hash=7d539ac482c0f2b1e3fa4cb7947a7dbe}{% + family={Stemmler}, + familyi={S\bibinitperiod}, + given={Martin}, + giveni={M\bibinitperiod}, + givenun=0}}% + {{un=0,uniquepart=base,hash=b7f9fb3e1e84e5a6ac5dec33ca4db532}{% + family={Herz}, + familyi={H\bibinitperiod}, + given={Andreas\bibnamedelima VM}, + giveni={A\bibinitperiod\bibinitdelim V\bibinitperiod}, + givenun=0}}% + {{un=0,uniquepart=base,hash=b272c90c0483651c52c3c4bca79b3444}{% + family={Samengo}, + familyi={S\bibinitperiod}, + given={Inés}, + giveni={I\bibinitperiod}, + givenun=0}}% + } + \list{publisher}{1}{% + {American Physiological Society}% + } + \strng{namehash}{9d34b476a0fe74d5296f159bbbf472ba} + \strng{fullhash}{965954f2367cd5cdd32d7b950e851bf8} + \strng{bibnamehash}{9d34b476a0fe74d5296f159bbbf472ba} + \strng{authorbibnamehash}{9d34b476a0fe74d5296f159bbbf472ba} + \strng{authornamehash}{9d34b476a0fe74d5296f159bbbf472ba} + \strng{authorfullhash}{965954f2367cd5cdd32d7b950e851bf8} + \field{sortinit}{R} + \field{sortinithash}{5e1c39a9d46ffb6bebd8f801023a9486} + \field{extradatescope}{labelyear} + \field{labeldatesource}{} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{journaltitle}{Journal of Neurophysiology} + \field{number}{4} + \field{title}{Spike-timing precision underlies the coding efficiency of auditory receptor neurons} + \field{volume}{95} + \field{year}{2006} + \field{pages}{2541\bibrangedash 2552} + \range{pages}{12} + \endentry \entry{romer1976informationsverarbeitung}{article}{} \name{author}{1}{}{% {{un=0,uniquepart=base,hash=3a7c1e0eadfa7b3c3e9fb1e6d36a1a76}{% diff --git a/main.bcf b/main.bcf index 615f3a6..d8d94ec 100644 --- a/main.bcf +++ b/main.bcf @@ -2403,36 +2403,31 @@ clemens2010intensity hildebrandt2009origin clemens2013computational - clemens2013feature - ronacher2015computational - clemens2013feature - clemens2013computational + hennig2014time + clemens2013feature + ronacher2015computational + clemens2013feature clemens2013computational - clemens2013feature - hennig2014time - clemens2011efficient - clemens2013computational - clemens2013feature - clemens2013computational - clemens2013feature - ronacher2015computational - rehbein1974structure - kalmring1975afferent - rehbein1976auditory - eichendorf1980projections - clemens2011efficient - clemens2011efficient - clemens2011efficient - michelsen1971frequency - windmill2008time - malkin2014energy - machens2001discrimination - machens2001representation - suga1960peripheral - gollisch2002energy - hildebrandt2009origin - clemens2010intensity - fisch2012channel + rokem2006spike + clemens2011efficient + clemens2012nonlinear + rehbein1974structure + kalmring1975afferent + rehbein1976auditory + eichendorf1980projections + clemens2011efficient + clemens2011efficient + clemens2011efficient + michelsen1971frequency + windmill2008time + malkin2014energy + machens2001discrimination + machens2001representation + suga1960peripheral + gollisch2002energy + hildebrandt2009origin + clemens2010intensity + fisch2012channel diff --git a/main.blg b/main.blg index 3811184..359e88e 100644 --- a/main.blg +++ b/main.blg @@ -1,61 +1,68 @@ [0] Config.pm:307> INFO - This is Biber 2.19 [0] Config.pm:310> INFO - Logfile is 'main.blg' -[37] biber:340> INFO - === Do Jan 22, 2026, 16:53:42 -[44] Biber.pm:419> INFO - Reading 'main.bcf' -[74] Biber.pm:979> INFO - Found 50 citekeys in bib section 0 -[80] Biber.pm:4419> INFO - Processing section 0 -[85] Biber.pm:4610> INFO - Looking for bibtex file 'cite.bib' for section 0 -[86] bibtex.pm:1713> INFO - LaTeX decoding ... -[115] 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' -[278] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'variable = shifted' with 'variable = non-ignorable' -[278] 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' -[300] bbl.pm:660> INFO - Writing 'main.bbl' with encoding 'UTF-8' -[310] bbl.pm:763> INFO - Output to main.bbl -[310] Biber.pm:131> WARN - BibTeX subsystem: 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WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 263, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 283, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 354, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 400, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 428, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 464, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 508, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 538, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 580, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 627, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 669, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 687, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 713, 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 -[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 755, warning: 6 characters of junk seen at toplevel -[310] Biber.pm:133> INFO - WARNINGS: 45 +[34] biber:340> INFO - === Fr Jan 23, 2026, 15:55:15 +[43] Biber.pm:419> INFO - Reading 'main.bcf' +[70] Biber.pm:979> INFO - Found 52 citekeys in bib section 0 +[75] Biber.pm:4419> INFO - Processing section 0 +[80] Biber.pm:4610> INFO - Looking for bibtex file 'cite.bib' for section 0 +[81] bibtex.pm:1713> INFO - LaTeX decoding ... +[108] bibtex.pm:1519> INFO - Found BibTeX data source 'cite.bib' +[264] 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' +[264] Biber.pm:4239> INFO - Sorting list 'nyt/global//global/global' of type 'entry' with template 'nyt' and locale 'en-US' +[264] Biber.pm:4245> INFO - No sort tailoring available for locale 'en-US' +[285] bbl.pm:660> INFO - Writing 'main.bbl' with encoding 'UTF-8' +[294] bbl.pm:763> INFO - Output to main.bbl +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.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 21, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.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 58, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 82, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 100, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 118, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 136, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 178, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 207, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 227, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 247, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 267, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 287, 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 +[294] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 315, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 378, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 414, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 460, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 504, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 534, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 554, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 596, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 635, 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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 665, warning: 6 characters of junk seen at toplevel +[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 +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.utf8, line 730, warning: 6 characters of junk seen at toplevel +[295] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_1hoV/347c261ec4135a5723bef5c751f5078f_10666.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 772, warning: 6 characters of junk seen at toplevel +[295] Biber.pm:133> INFO - WARNINGS: 52 diff --git a/main.fdb_latexmk b/main.fdb_latexmk index 6053b14..017d40e 100644 --- a/main.fdb_latexmk +++ b/main.fdb_latexmk @@ -1,14 +1,14 @@ # Fdb version 4 -["biber main"] 1769097221.93965 "main.bcf" "main.bbl" "main" 1769100043.95968 0 - "cite.bib" 1768489243.3513 25644 2f9b998c97d6e7aa07801397c4ef503d "" - "main.bcf" 1769100043.91704 112819 a4d158893aa48c962a847f2f7a85afd7 "pdflatex" +["biber main"] 1769180115.1045 "main.bcf" "main.bbl" "main" 1769181243.6132 0 + "cite.bib" 1769161606.81515 26101 38c8b9abe5a195b02b3dc24d060fd93c "" + "main.bcf" 1769181243.57068 112422 0fe70177fbc50b685f20ce9d453017d9 "pdflatex" (generated) "main.bbl" "main.blg" (rewritten before read) -["pdflatex"] 1769100043.18261 "/home/hartling/phd/paper/paper_2025/main.tex" "main.pdf" "main" 1769100043.95989 0 +["pdflatex"] 1769181242.88662 "/home/hartling/phd/paper/paper_2025/main.tex" "main.pdf" "main" 1769181243.6134 0 "/etc/texmf/web2c/texmf.cnf" 1761560044.43676 475 c0e671620eb5563b2130f56340a5fde8 "" - "/home/hartling/phd/paper/paper_2025/main.tex" 1769100043.10705 35037 3bfc4743b61a3add582668964452380f "" + "/home/hartling/phd/paper/paper_2025/main.tex" 1769181242.02469 33086 a659f007ab32a7da536b212f027bd9fe "" "/usr/share/texlive/texmf-dist/fonts/map/fontname/texfonts.map" 1577235249 3524 cb3e574dea2d1052e39280babc910dc8 "" "/usr/share/texlive/texmf-dist/fonts/tfm/public/amsfonts/cmextra/cmex7.tfm" 1246382020 1004 54797486969f23fa377b128694d548df "" "/usr/share/texlive/texmf-dist/fonts/tfm/public/amsfonts/cmextra/cmex8.tfm" 1246382020 988 bdf658c3bfc2d96d3c8b02cfc1c94c20 "" @@ -131,10 +131,10 @@ "/var/lib/texmf/web2c/pdftex/pdflatex.fmt" 1761648508 8213325 7fd20752ab46ff9aa583e4973d7433df "" "figures/fig_auditory_pathway.pdf" 1764926286.29522 997047 a3424a5b5dfa1dfb4f650bcde9c035bb "" "figures/fig_auditory_pathway.pdf_tex" 1764926286.29622 2096 aa44b3485835aa1bb41439bee4b9c721 "" - "main.aux" 1769100043.91404 9539 822f388d83833cb9747bc228f474e2cf "pdflatex" - "main.bbl" 1769097222.53776 81842 2cd181e0e0681a6640a954b249ff0a14 "biber main" - "main.run.xml" 1769100043.91804 2305 d0067550f22ade5b49f22d40cea22838 "pdflatex" - "main.tex" 1769100043.10705 35037 3bfc4743b61a3add582668964452380f "" + "main.aux" 1769181243.56768 8995 27806759adbb8e49341b16241a957e86 "pdflatex" + "main.bbl" 1769180115.75565 85985 770a017f2d3d3fc54e26790f2cf043b4 "biber main" + "main.run.xml" 1769181243.57168 2305 d0067550f22ade5b49f22d40cea22838 "pdflatex" + "main.tex" 1769181242.02469 33086 a659f007ab32a7da536b212f027bd9fe "" (generated) "main.aux" "main.bcf" diff --git a/main.fls b/main.fls index 06af745..1b8d8c6 100644 --- a/main.fls +++ b/main.fls @@ -216,7 +216,6 @@ INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx12.tfm INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmti12.tfm OUTPUT main.pdf INPUT /var/lib/texmf/fonts/map/pdftex/updmap/pdftex.map -INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx12.tfm INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmr8.tfm INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmr6.tfm INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmmi12.tfm @@ -243,6 +242,7 @@ INPUT figures/fig_auditory_pathway.pdf INPUT ./figures/fig_auditory_pathway.pdf INPUT ./figures/fig_auditory_pathway.pdf INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx12.tfm +INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx12.tfm INPUT main.aux INPUT main.run.xml OUTPUT main.run.xml diff --git a/main.log b/main.log index 295811a..35b2b9c 100644 --- a/main.log +++ b/main.log @@ -1,4 +1,4 @@ -This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023/Debian) (preloaded format=pdflatex 2025.10.28) 22 JAN 2026 17:40 +This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023/Debian) (preloaded format=pdflatex 2025.10.28) 23 JAN 2026 16:14 entering extended mode restricted \write18 enabled. file:line:error style messages enabled. @@ -672,24 +672,29 @@ Overfull \hbox (0.27292pt too wide) in paragraph at lines 131--188 \OT1/cmr/m/n/12 and by dif-fer-ent mech-a-nisms ([]). Ap-prox-i-mat-ing this pro-cess within [] -[2] [3] [4] -Overfull \hbox (13.04964pt too wide) in paragraph at lines 348--350 +[2] +Overfull \hbox (50.15343pt too wide) in paragraph at lines 192--253 +\OT1/cmr/m/n/12 ets ([], []) and grasshop-pers ([], + [] + +[3] [4] +Overfull \hbox (13.04964pt too wide) in paragraph at lines 312--314 []\OT1/cmr/m/n/12 Similar re-sponse/filter prop-er-ties within re-cep-tor/interneuron pop-u-la-tions ([]Clemens, Kutzki, [] -[5] (./figures/fig_auditory_pathway.pdf_tex - +(./figures/fig_auditory_pathway.pdf_tex + File: figures/fig_auditory_pathway.pdf Graphic file (type pdf) Package pdftex.def Info: figures/fig_auditory_pathway.pdf , page1 used on input line 56. (pdftex.def) Requested size: 455.24411pt x 378.38292pt. -) [6 <./figures/fig_auditory_pathway.pdf>] -Overfull \hbox (40.4313pt too wide) in paragraph at lines 400--411 +) [5] [6 <./figures/fig_auditory_pathway.pdf>] +Overfull \hbox (40.4313pt too wide) in paragraph at lines 364--375 []\OT1/cmr/m/n/12 ) and, to a lesser ex-tent, the re-cep-tors them-selves ([]) [] [7] -Overfull \hbox (9.43962pt too wide) in paragraph at lines 469--469 +Overfull \hbox (9.43962pt too wide) in paragraph at lines 433--433 []\OT1/cmr/bx/n/17.28 Two mech-a-nisms driv-ing the emer-gence of intensity- [] @@ -703,15 +708,15 @@ Package logreq Info: Writing requests to 'main.run.xml'. ) Here is how much of TeX's memory you used: - 17850 strings out of 474222 - 384434 string characters out of 5748732 - 1936975 words of memory out of 5000000 - 39879 multiletter control sequences out of 15000+600000 + 17847 strings out of 474222 + 384487 string characters out of 5748732 + 1937975 words of memory out of 5000000 + 39876 multiletter control sequences out of 15000+600000 567179 words of font info for 71 fonts, out of 8000000 for 9000 1141 hyphenation exceptions out of 8191 94i,19n,93p,713b,992s stack positions out of 10000i,1000n,20000p,200000b,200000s -Output written on main.pdf (12 pages, 1117104 bytes). +Output written on main.pdf (12 pages, 1116241 bytes). PDF statistics: 1097 PDF objects out of 1200 (max. 8388607) 696 compressed objects within 7 object streams diff --git a/main.pdf b/main.pdf index cbdeda5..15d3c92 100644 Binary files a/main.pdf and b/main.pdf differ diff --git a/main.synctex.gz b/main.synctex.gz index 34df5ba..166bbdc 100644 Binary files a/main.synctex.gz and b/main.synctex.gz differ diff --git a/main.tex b/main.tex index d328eec..8fdbec2 100644 --- a/main.tex +++ b/main.tex @@ -191,19 +191,19 @@ degree of intensity invariance. % (Still can't stand some of this paragraph's structure and wording...) 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 -conspecific song as such, the auditory system also needs to extract -sufficiently informative features of the song pattern and then integrate the -gathered information into a final categorical percept. Previous authors have -proposed a functional model framework that describes this process --- feature -extraction, evidence accumulation, and categorical decision making --- in both -crickets~(\bcite{clemens2013computational}) and +conspecific song as such, the auditory system needs to extract sufficiently +informative features of the song pattern and then integrate the gathered +information into a final categorical percept. Previous authors have proposed a +functional model framework that describes this process --- feature extraction, +evidence accumulation, and categorical decision making --- in both +crickets~(\bcite{clemens2013computational}, \bcite{hennig2014time}) and grasshoppers~(\bcite{clemens2013feature}, review on both:~\bcite{ronacher2015computational}). Their framework provides a comprehensible and biologically plausible account of the computational -mechanisms required for species-specific song recognition. As such, it has -served as the inspiration for the development of the model pathway we propose -here. The existing framework relies on pulse trains as input signals, which -were designed to capture the essential structural properties of natural song +mechanisms required for species-specific song recognition, which has served as +the inspiration for the development of the model pathway we propose here. The +existing framework relies on pulse trains as input signals, which were designed +to capture the essential structural properties of natural song envelopes~(\bcite{clemens2013feature}). In the first step, a bank of parallel linear-nonlinear feature detectors is applied to the input signal. Each feature 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 convolutional filters, which have previously been fitted to behavioral data for each individual species~(\bcite{clemens2013computational}), are replaced by a -larger, more general set of unfitted Gabor kernels in order to cover a wide -range of possible song features for as many species as possible. Gabor kernels -closely resemble the structure of the filters used in previous -models~(\bcite{clemens2013computational}, \bcite{clemens2013feature}, -\bcite{hennig2014time}) as well as the measured spike-triggered averages of -higher-order interneurons in the grasshopper auditory -system~(\bcite{clemens2011efficient}). The fitted sigmoidal nonlinearities in -the existing framework consistently exhibited very steep -slopes~(\bcite{clemens2013computational}, \bcite{clemens2013feature}) and are -therefore approximated by simpler shifted Heaviside step-functions in our -model. Another, more substantial modification is that the outputs of the -feature detectors are temporally averaged in a way that does not condense them -into single feature values but retains their time-varying structure. A -time-varying feature representation introduces a certain time constant until -the representation stabilizes after the onset of a song. This reflects the -continuous nature of acoustic input and auditory perception, as songs are not -received as discrete units but processed continuously prior to the final -categorical decision to initate a behavioral response~(SOURCE LOL). The -most notable difference between our model pathway and the existing framework, -however, lays in the addition of a physiologically inspired preprocessing -portion, whose starting point corresponds to the initial reception of airborne -sound waves. This allows the model to operate on unmodified recordings of -natural grasshopper songs instead of condensed pulse train approximations, -which widens its scope towards more realistic, ecologically relevant scenarios. -For instance, we were able to investigate the contribution of different -processing stages to the emergence of intensity-invariant song representations -based on actual field recordings of songs at different distances from the -sender. - - - - -% 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 -% conspecific song as such, the auditory system needs to extract sufficiently -% 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 +larger, generic set of unfitted Gabor basis functions in order to cover a wide +range of possible song features across different species. Gabor functions +approximate the general structure of the filters used in the existing framework +as well as the filter functions found in various auditory +neurons~(\bcite{rokem2006spike}, \bcite{clemens2011efficient}, +\bcite{clemens2012nonlinear}). The fitted sigmoidal nonlinearities in the +existing framework consistently exhibited very steep slopes and are therefore +replaced by shifted Heaviside step-functions, which results in a binarization +of the feature detector outputs. Another, more substantial modification is that +the feature detector outputs are temporally averaged in a way that does not +condense them into single feature values but retains their time-varying +structure. This is in line with the fact that songs are no discrete units but +part of a continuous acoustic stream that the auditory system has to process in +real time. Moreover, a time-varying feature representation only stabilizes +after a certain delay following the onset of a song, which emphasizes the +temporal dynamics of evidence accumulation towards a final categorical +decision. The most notable difference between our model pathway and the +existing framework, however, lays in the addition of a physiologically inspired +preprocessing portion, whose starting point corresponds to the initial +reception of airborne sound waves. This allows the model to operate on +unmodified recordings of natural grasshopper songs instead of condensed pulse +train approximations, which widens its scope towards more realistic, +ecologically relevant scenarios. For instance, we were able to investigate the +contribution of different processing stages to the emergence of +intensity-invariant song representations based on actual field recordings of +songs at different distances from the sender. +% Forgive me, it's friday. +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 +their functional approximation by basic mathematical operations. We then +elaborate on two key mechanisms that drive the emergence of intensity-invariant +song representations within the auditory pathway. % SCRAPPED UNTIL FURTHER NOTICE: % Multi-species, multi-individual communally inhabited environments\\