diff --git a/cite.bib b/cite.bib index 2a937be..db0ea11 100644 --- a/cite.bib +++ b/cite.bib @@ -193,6 +193,17 @@ year={2002}, }# Cited +@article{gray1960fine, + title={The fine structure of the insect ear}, + author={Gray, Edward George}, + journal={Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences}, + volume={243}, + number={700}, + pages={75--94}, + year={1960}, + publisher={The Royal Society London} +}# Cited + @article{greenfield1993acoustic, title={Acoustic dueling in tarbush grasshoppers: settlement of territorial contests via alternation of reliable signals}, author={Greenfield, Michael D and Minckley, Robert L}, diff --git a/literature/Gray_1960.pdf b/literature/Gray_1960.pdf new file mode 100644 index 0000000..e12f5b8 Binary files /dev/null and b/literature/Gray_1960.pdf differ diff --git a/main.aux b/main.aux index 0e8f338..451a857 100644 --- a/main.aux +++ b/main.aux @@ -151,10 +151,8 @@ \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}{gray1960fine} +\abx@aux@segm{0}{0}{gray1960fine} \abx@aux@cite{0}{romer1985responses} \abx@aux@segm{0}{0}{romer1985responses} \abx@aux@cite{0}{ronacher1986routes} @@ -163,12 +161,22 @@ \abx@aux@segm{0}{0}{bauer1987separate} \abx@aux@cite{0}{bhavsar2017brain} \abx@aux@segm{0}{0}{bhavsar2017brain} +\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@cite{0}{michelsen1971frequency} +\abx@aux@segm{0}{0}{michelsen1971frequency} +\abx@aux@cite{0}{windmill2008time} +\abx@aux@segm{0}{0}{windmill2008time} +\abx@aux@cite{0}{malkin2014energy} +\abx@aux@segm{0}{0}{malkin2014energy} \@writefile{toc}{\contentsline {section}{\numberline {2}Developing a functional model of the\\grasshopper song recognition pathway}{5}{}\protected@file@percent } \abx@aux@page{50}{5} \abx@aux@page{51}{5} @@ -180,12 +188,9 @@ \abx@aux@page{57}{5} \abx@aux@page{58}{5} \abx@aux@page{59}{5} -\abx@aux@cite{0}{michelsen1971frequency} -\abx@aux@segm{0}{0}{michelsen1971frequency} -\abx@aux@cite{0}{windmill2008time} -\abx@aux@segm{0}{0}{windmill2008time} -\abx@aux@cite{0}{malkin2014energy} -\abx@aux@segm{0}{0}{malkin2014energy} +\abx@aux@page{60}{5} +\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces \textbf {Schematic organisation of the song recognition pathway in grasshoppers compared to the structure of the model pathway.} \textbf {a}:~Course of the pathway in the grasshopper, from the tympanal membrane over receptor neurons (1st order), local interneurons (2nd order) of the metathoracic ganglion, and ascending neurons (3rd order) further towards the central brain. \textbf {b}:~Connections between the three neuronal populations within the metathoracic ganglion. \textbf {c}:~Network representation of neuronal connectivity. \textbf {d}:~Flow diagram of the different signal representations (boxes) and transformations (arrows) along the model pathway. The pathway consists of a population-wide preprocessing stream followed by several parallel feature extraction streams. }}{6}{}\protected@file@percent } +\newlabel{fig:pathway}{{1}{6}{}{}{}} \abx@aux@cite{0}{machens2001discrimination} \abx@aux@segm{0}{0}{machens2001discrimination} \abx@aux@cite{0}{machens2001representation} @@ -200,29 +205,27 @@ \abx@aux@segm{0}{0}{clemens2010intensity} \abx@aux@cite{0}{fisch2012channel} \abx@aux@segm{0}{0}{fisch2012channel} -\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}Population-driven signal preprocessing}{6}{}\protected@file@percent } -\abx@aux@page{60}{6} -\abx@aux@page{61}{6} -\abx@aux@page{62}{6} -\newlabel{eq:bandpass}{{1}{6}{}{}{}} -\abx@aux@page{63}{6} -\abx@aux@page{64}{6} -\newlabel{eq:env}{{2}{6}{}{}{}} -\abx@aux@page{65}{6} -\abx@aux@page{66}{6} -\newlabel{eq:log}{{3}{6}{}{}{}} -\abx@aux@page{67}{6} -\abx@aux@page{68}{6} -\abx@aux@page{69}{6} -\newlabel{eq:highpass}{{4}{6}{}{}{}} -\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces \textbf {Schematic organisation of the song recognition pathway in grasshoppers compared to the structure of the model pathway.} \textbf {a}:~Course of the pathway in the grasshopper, from the tympanal membrane over receptor neurons (1st order), local interneurons (2nd order) of the metathoracic ganglion, and ascending neurons (3rd order) further towards the central brain. \textbf {b}:~Connections between the three neuronal populations within the metathoracic ganglion. \textbf {c}:~Network representation of neuronal connectivity. \textbf {d}:~Flow diagram of the different signal representations (boxes) and transformations (arrows) along the model pathway. The pathway consists of a population-wide preprocessing stream followed by several parallel feature extraction streams. }}{7}{}\protected@file@percent } -\newlabel{fig:pathway}{{1}{7}{}{}{}} +\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}Population-driven signal preprocessing}{7}{}\protected@file@percent } +\abx@aux@page{61}{7} +\abx@aux@page{62}{7} +\abx@aux@page{63}{7} +\newlabel{eq:bandpass}{{1}{7}{}{}{}} +\abx@aux@page{64}{7} +\abx@aux@page{65}{7} +\newlabel{eq:env}{{2}{7}{}{}{}} +\abx@aux@page{66}{7} +\abx@aux@page{67}{7} +\newlabel{eq:log}{{3}{7}{}{}{}} +\abx@aux@page{68}{7} +\abx@aux@page{69}{7} +\abx@aux@page{70}{7} +\newlabel{eq:highpass}{{4}{7}{}{}{}} \@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Feature extraction by individual neurons}{8}{}\protected@file@percent } \newlabel{eq:gabor}{{5}{8}{}{}{}} \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}{9}{}\protected@file@percent } +\@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 } \newlabel{eq:toy_env}{{9}{9}{}{}{}} \newlabel{eq:toy_snr}{{10}{9}{}{}{}} @@ -230,11 +233,11 @@ \newlabel{eq:toy_highpass}{{12}{10}{}{}{}} \@writefile{toc}{\contentsline {subsection}{\numberline {3.2}Threshold nonlinearity \& temporal averaging}{10}{}\protected@file@percent } \newlabel{eq:pdf_split}{{13}{10}{}{}{}} -\newlabel{eq:pdf}{{14}{11}{}{}{}} +\newlabel{eq:pdf}{{14}{10}{}{}{}} \newlabel{eq:feat_avg}{{15}{11}{}{}{}} \newlabel{eq:feat_prop}{{16}{11}{}{}{}} \@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{6C71BE63CBB234343D50C3C526D71C63} +\abx@aux@read@bbl@mdfivesum{A2E0DF278D3D8A02C494B01B27D6D1BC} \gdef \@abspage@last{12} diff --git a/main.bbl b/main.bbl index 9f2df14..51eee56 100644 --- a/main.bbl +++ b/main.bbl @@ -775,6 +775,38 @@ \field{pages}{10434\bibrangedash 10448} \range{pages}{15} \endentry + \entry{gray1960fine}{article}{} + \name{author}{1}{}{% + {{un=0,uniquepart=base,hash=0fd169f6f92c0ac622714d01f266a464}{% + family={Gray}, + familyi={G\bibinitperiod}, + given={Edward\bibnamedelima George}, + giveni={E\bibinitperiod\bibinitdelim G\bibinitperiod}, + givenun=0}}% + } + \list{publisher}{1}{% + {The Royal Society London}% + } + \strng{namehash}{0fd169f6f92c0ac622714d01f266a464} + \strng{fullhash}{0fd169f6f92c0ac622714d01f266a464} + \strng{bibnamehash}{0fd169f6f92c0ac622714d01f266a464} + \strng{authorbibnamehash}{0fd169f6f92c0ac622714d01f266a464} + \strng{authornamehash}{0fd169f6f92c0ac622714d01f266a464} + \strng{authorfullhash}{0fd169f6f92c0ac622714d01f266a464} + \field{sortinit}{G} + \field{sortinithash}{32d67eca0634bf53703493fb1090a2e8} + \field{extradatescope}{labelyear} + \field{labeldatesource}{} + \field{labelnamesource}{author} + \field{labeltitlesource}{title} + \field{journaltitle}{Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences} + \field{number}{700} + \field{title}{The fine structure of the insect ear} + \field{volume}{243} + \field{year}{1960} + \field{pages}{75\bibrangedash 94} + \range{pages}{20} + \endentry \entry{greenfield1993acoustic}{article}{} \name{author}{2}{}{% {{un=0,uniquepart=base,hash=7337060ac66e3754c013ebcf5ab58448}{% diff --git a/main.bcf b/main.bcf index b87ad29..57ce94f 100644 --- a/main.bcf +++ b/main.bcf @@ -2414,23 +2414,24 @@ rehbein1974structure rehbein1976auditory eichendorf1980projections - romer1985responses - ronacher1986routes - bauer1987separate - bhavsar2017brain - clemens2011efficient + gray1960fine + romer1985responses + ronacher1986routes + bauer1987separate + bhavsar2017brain clemens2011efficient clemens2011efficient - michelsen1971frequency - windmill2008time - malkin2014energy - machens2001discrimination - machens2001representation - suga1960peripheral - gollisch2002energy - hildebrandt2009origin - clemens2010intensity - fisch2012channel + clemens2011efficient + michelsen1971frequency + windmill2008time + malkin2014energy + machens2001discrimination + machens2001representation + suga1960peripheral + gollisch2002energy + hildebrandt2009origin + clemens2010intensity + fisch2012channel diff --git a/main.blg b/main.blg index a8d6950..c050e89 100644 --- a/main.blg +++ b/main.blg @@ -1,68 +1,69 @@ [0] Config.pm:307> INFO - This is Biber 2.19 [0] Config.pm:310> INFO - Logfile is 'main.blg' -[36] biber:340> INFO - === Mo Feb 2, 2026, 15:50:34 -[44] Biber.pm:419> INFO - Reading 'main.bcf' -[73] Biber.pm:979> INFO - Found 54 citekeys in bib section 0 -[79] Biber.pm:4419> INFO - Processing section 0 -[83] Biber.pm:4610> INFO - Looking for bibtex file 'cite.bib' for section 0 -[85] bibtex.pm:1713> INFO - LaTeX decoding ... -[113] bibtex.pm:1519> INFO - Found BibTeX data source 'cite.bib' -[282] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'variable = shifted' with 'variable = non-ignorable' -[282] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'normalization = NFD' with 'normalization = prenormalized' -[282] Biber.pm:4239> INFO - Sorting list 'nyt/global//global/global' of type 'entry' with template 'nyt' and locale 'en-US' -[282] Biber.pm:4245> INFO - No sort tailoring available for locale 'en-US' -[304] bbl.pm:660> INFO - Writing 'main.bbl' with encoding 'UTF-8' -[313] bbl.pm:763> INFO - 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+(./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 487.77744pt. -) -Overfull \hbox (40.4313pt too wide) in paragraph at lines 385--396 +) [5] + +LaTeX Warning: Text page 6 contains only floats. + +[6 <./figures/fig_auditory_pathway.pdf>] +Overfull \hbox (40.4313pt too wide) in paragraph at lines 383--394 []\OT1/cmr/m/n/12 ) and, to a lesser ex-tent, the re-cep-tors them-selves ([]) [] -[6] - -LaTeX Warning: Text page 7 contains only floats. - -[7 <./figures/fig_auditory_pathway.pdf>] -Overfull \hbox (9.43962pt too wide) in paragraph at lines 454--454 +[7] +Overfull \hbox (9.43962pt too wide) in paragraph at lines 452--452 []\OT1/cmr/bx/n/17.28 Two mech-a-nisms driv-ing the emer-gence of intensity- [] @@ -712,15 +717,15 @@ Package logreq Info: Writing requests to 'main.run.xml'. ) Here is how much of TeX's memory you used: - 17852 strings out of 474222 - 384625 string characters out of 5748732 + 17854 strings out of 474222 + 384685 string characters out of 5748732 1937975 words of memory out of 5000000 - 39881 multiletter control sequences out of 15000+600000 + 39883 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,960b,992s stack positions out of 10000i,1000n,20000p,200000b,200000s -Output written on main.pdf (12 pages, 1405643 bytes). +Output written on main.pdf (12 pages, 1405497 bytes). PDF statistics: 1089 PDF objects out of 1200 (max. 8388607) 690 compressed objects within 7 object streams diff --git a/main.pdf b/main.pdf index dc99f92..707f4d2 100644 Binary files a/main.pdf and b/main.pdf differ diff --git a/main.synctex.gz b/main.synctex.gz index 8a2df7c..43978a8 100644 Binary files a/main.synctex.gz and b/main.synctex.gz differ diff --git a/main.tex b/main.tex index e9391b1..36b28d1 100644 --- a/main.tex +++ b/main.tex @@ -282,34 +282,32 @@ within the auditory pathway. \section{Developing a functional model of the\\grasshopper song recognition pathway} -The essence of constructing a functional model of a sensory processing system -is to gain a sufficient understanding of the system's essential structural -components and the functional roles they might fulfill; and to then build a -formal framework of manageable complexity around these two aspects. -Anatomically, the organization of the grasshopper song recognition pathway can -be outlined as a hierarchical feed-forward network of three consecutive -neuronal populations~(Fig.\,\ref{fig:pathway}a-c): Peripheral auditory receptor -neurons, whose axons enter the ventral nerve cord at the level of the -metathoracic ganglion; local interneurons that remain exclusively within the -thoracic region of the ventral nerve cord; and ascending neurons projecting -from the thoracic region towards the supraesophageal -ganglion~(\bcite{rehbein1974structure}; \bcite{rehbein1976auditory}; -\bcite{eichendorf1980projections}). The input to the network originates from +The essence of constructing a functional model of a given system is to gain a +sufficient understanding of the system's essential structural components and +their presumed functional roles; and to then build a formal framework of +manageable complexity around these two aspects. Anatomically, the organization +of the grasshopper song recognition pathway can be outlined as a hierarchical +feed-forward network of three consecutive neuronal +populations~(Fig.\,\ref{fig:pathway}a-c): Peripheral auditory receptor neurons, +whose axons enter the ventral nerve cord at the level of the metathoracic +ganglion; local interneurons that remain exclusively within the thoracic region +of the ventral nerve cord; and ascending neurons projecting from the thoracic +region towards the supraesophageal ganglion~(\bcite{rehbein1974structure}; +\bcite{rehbein1976auditory}; \bcite{eichendorf1980projections}). The input to +the network originates at the membrane of the tympanal organ, which acts as the +primary sound receiver and is coupled to the dendritic endings of the receptor +neurons~(\bcite{gray1960fine}). The outputs of the network converge somewhere +in the supraesophageal ganglion, which is presumed to harbor the neuronal +substrate of song recognition~(\bcite{romer1985responses}; +\bcite{ronacher1986routes}; \bcite{bauer1987separate}; +\bcite{bhavsar2017brain}). - -The input to the network originates from -sound-induced vibrations of the tympanal membrane on each side of the thorax, -which are transduced into electro-chemical signals by the receptor neurons. The -output from the network converges somewhere in the supraesophageal ganglion, -where the recognition of conspecific songs is presumed to take -place~(\bcite{romer1985responses}; \bcite{ronacher1986routes}; -\bcite{bauer1987separate}; \bcite{bhavsar2017brain}). Functionally, the -ascending neuron population is characterized by a marked increase in response -heterogenity compared to the preceding receptor neurons and local interneurons, -which exhibit relatively homogeneous response properties across their -respective populations~(\bcite{clemens2011efficient}). Based on these -considerations, the organisation of the model +Functionally, the ascending neuron population is characterized by a marked +increase in response heterogenity compared to the preceding receptor neurons +and local interneurons, which exhibit relatively homogeneous response +properties across their respective populations~(\bcite{clemens2011efficient}). +Based on these considerations, the organisation of the model pathway~(Fig.\,\ref{fig:pathway}d) comprises two distinct overall stages: