Done with first methods paragraph.
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37
main.aux
37
main.aux
@@ -153,24 +153,18 @@
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\abx@aux@segm{0}{0}{eichendorf1980projections}
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\abx@aux@cite{0}{gray1960fine}
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\abx@aux@segm{0}{0}{gray1960fine}
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\abx@aux@cite{0}{romer1985responses}
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\abx@aux@segm{0}{0}{romer1985responses}
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\abx@aux@cite{0}{ronacher1986routes}
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\abx@aux@segm{0}{0}{ronacher1986routes}
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\abx@aux@cite{0}{bauer1987separate}
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\abx@aux@segm{0}{0}{bauer1987separate}
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\abx@aux@cite{0}{bhavsar2017brain}
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\abx@aux@segm{0}{0}{bhavsar2017brain}
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\abx@aux@cite{0}{clemens2011efficient}
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\abx@aux@segm{0}{0}{clemens2011efficient}
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\abx@aux@page{46}{4}
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\abx@aux@page{47}{4}
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\abx@aux@page{48}{4}
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\abx@aux@page{49}{4}
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\abx@aux@cite{0}{clemens2011efficient}
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\abx@aux@segm{0}{0}{clemens2011efficient}
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\abx@aux@cite{0}{clemens2011efficient}
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\abx@aux@segm{0}{0}{clemens2011efficient}
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\abx@aux@cite{0}{clemens2011efficient}
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\abx@aux@segm{0}{0}{clemens2011efficient}
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\abx@aux@cite{0}{michelsen1971frequency}
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\abx@aux@segm{0}{0}{michelsen1971frequency}
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\abx@aux@cite{0}{windmill2008time}
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@@ -186,9 +180,7 @@
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\abx@aux@page{55}{5}
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\abx@aux@page{56}{5}
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\abx@aux@page{57}{5}
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\abx@aux@page{58}{5}
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\abx@aux@page{59}{5}
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\abx@aux@page{60}{5}
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\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}Population-driven signal preprocessing}{5}{}\protected@file@percent }
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\@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 }
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\newlabel{fig:pathway}{{1}{6}{}{}{}}
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\abx@aux@cite{0}{machens2001discrimination}
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@@ -205,22 +197,21 @@
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\abx@aux@segm{0}{0}{clemens2010intensity}
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\abx@aux@cite{0}{fisch2012channel}
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\abx@aux@segm{0}{0}{fisch2012channel}
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\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}Population-driven signal preprocessing}{7}{}\protected@file@percent }
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\abx@aux@page{58}{7}
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\abx@aux@page{59}{7}
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\abx@aux@page{60}{7}
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\newlabel{eq:bandpass}{{1}{7}{}{}{}}
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\abx@aux@page{61}{7}
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\abx@aux@page{62}{7}
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\abx@aux@page{63}{7}
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\newlabel{eq:bandpass}{{1}{7}{}{}{}}
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\abx@aux@page{64}{7}
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\abx@aux@page{65}{7}
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\newlabel{eq:env}{{2}{7}{}{}{}}
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\abx@aux@page{63}{7}
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\abx@aux@page{64}{7}
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\newlabel{eq:log}{{3}{7}{}{}{}}
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\abx@aux@page{65}{7}
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\abx@aux@page{66}{7}
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\abx@aux@page{67}{7}
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\newlabel{eq:log}{{3}{7}{}{}{}}
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\abx@aux@page{68}{7}
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\abx@aux@page{69}{7}
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\abx@aux@page{70}{7}
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\newlabel{eq:highpass}{{4}{7}{}{}{}}
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\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Feature extraction by individual neurons}{8}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Feature extraction by individual neurons}{7}{}\protected@file@percent }
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\newlabel{eq:gabor}{{5}{8}{}{}{}}
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\newlabel{eq:conv}{{6}{8}{}{}{}}
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\newlabel{eq:binary}{{7}{8}{}{}{}}
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@@ -230,7 +221,7 @@
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\newlabel{eq:toy_env}{{9}{9}{}{}{}}
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\newlabel{eq:toy_snr}{{10}{9}{}{}{}}
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\newlabel{eq:toy_log}{{11}{9}{}{}{}}
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\newlabel{eq:toy_highpass}{{12}{10}{}{}{}}
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\newlabel{eq:toy_highpass}{{12}{9}{}{}{}}
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\@writefile{toc}{\contentsline {subsection}{\numberline {3.2}Threshold nonlinearity \& temporal averaging}{10}{}\protected@file@percent }
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\newlabel{eq:pdf_split}{{13}{10}{}{}{}}
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\newlabel{eq:pdf}{{14}{10}{}{}{}}
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@@ -239,5 +230,5 @@
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\@writefile{toc}{\contentsline {section}{\numberline {4}Discriminating species-specific song\\patterns in feature space}{12}{}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {5}Conclusions \& outlook}{12}{}\protected@file@percent }
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\gdef\svg@ink@ver@settings{{\m@ne }{inkscape}{\m@ne }}
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\abx@aux@read@bbl@mdfivesum{A2E0DF278D3D8A02C494B01B27D6D1BC}
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\abx@aux@read@bbl@mdfivesum{FA90685F05E4E680C0B8A26ABC1A8DFB}
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\gdef \@abspage@last{12}
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