Polished most of yesterday's work.
This commit is contained in:
j-hartling
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29
cite.bib
29
cite.bib
@ -77,7 +77,8 @@
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volume={35},
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pages={75--85},
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year={2013},
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}
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}# Cited
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@article{clemens2011efficient,
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title={Efficient transformation of an auditory population code in a small sensory system},
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author={Clemens, Jan and Kutzki, Olaf and Ronacher, Bernhard and Schreiber, Susanne and Wohlgemuth, Sandra},
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@ -85,7 +86,8 @@
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volume={108},
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pages={13812--13817},
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year={2011},
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}
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}# Cited
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@article{clemens2013feature,
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title={Feature extraction and integration underlying perceptual decision making during courtship behavior},
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author={Clemens, Jan and Ronacher, Bernhard},
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@ -93,7 +95,8 @@
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volume={33},
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pages={12136--12145},
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year={2013},
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}
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}# Cited
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@article{clemens2012nonlinear,
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title={Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper},
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author={Clemens, Jan and Wohlgemuth, Sandra and Ronacher, Bernhard},
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@ -101,7 +104,8 @@
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volume={32},
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pages={10053--10062},
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year={2012},
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}
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}# Cited
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@article{clemens2010intensity,
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title={Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers},
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author={Clemens, Jan and Weschke, Gerroth and Vogel, Astrid and Ronacher, Bernhard},
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@ -297,7 +301,8 @@
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volume={5},
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pages={286},
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year={2014},
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}
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}# Cited
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@article{hildebrandt2009origin,
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title={The origin of adaptation in the auditory pathway of locusts is specific to cell type and function},
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author={Hildebrandt, K Jannis and Benda, Jan and Hennig, R Matthias},
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@ -535,6 +540,17 @@
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year={1976},
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}# Cited
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@article{rokem2006spike,
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title={Spike-timing precision underlies the coding efficiency of auditory receptor neurons},
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author={Rokem, Ariel and Watzl, Sebastian and Gollisch, Tim and Stemmler, Martin and Herz, Andreas VM and Samengo, In{\'e}s},
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journal={Journal of Neurophysiology},
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volume={95},
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number={4},
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pages={2541--2552},
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year={2006},
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publisher={American Physiological Society}
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}# Cited
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@article{romer1976informationsverarbeitung,
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title={Die Informationsverarbeitung tympanaler Rezeptorelemente von Locusta migratoria (acrididae, orthoptera)},
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author={R{\"o}mer, Heiner},
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@ -604,7 +620,8 @@
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volume={201},
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pages={61--71},
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year={2015},
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}
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}# Cited
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@incollection{rowell1972variable,
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title={The variable coloration of the acridoid grasshoppers.},
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author={Rowell, CH Fraser},
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BIN
literature/Rokem_Watzl_Gollisch_Stemmler_Herz_Samengo_2006.pdf
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BIN
literature/Rokem_Watzl_Gollisch_Stemmler_Herz_Samengo_2006.pdf
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73
main.aux
73
main.aux
@ -112,6 +112,8 @@
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\abx@aux@page{28}{2}
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\abx@aux@segm{0}{0}{hennig2014time}
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\abx@aux@cite{0}{clemens2013feature}
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\abx@aux@segm{0}{0}{clemens2013feature}
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\abx@aux@cite{0}{ronacher2015computational}
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@ -120,18 +122,12 @@
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\abx@aux@cite{0}{clemens2013feature}
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\abx@aux@cite{0}{hennig2014time}
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\abx@aux@segm{0}{0}{hennig2014time}
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\abx@aux@cite{0}{rokem2006spike}
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\abx@aux@segm{0}{0}{rokem2006spike}
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\abx@aux@cite{0}{clemens2011efficient}
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\abx@aux@page{29}{3}
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\abx@aux@page{30}{3}
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\abx@aux@page{31}{3}
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@ -148,21 +144,7 @@
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\abx@aux@page{42}{3}
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\abx@aux@page{43}{3}
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\abx@aux@page{44}{3}
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\abx@aux@cite{0}{clemens2013computational}
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\abx@aux@segm{0}{0}{clemens2013computational}
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\abx@aux@cite{0}{clemens2013feature}
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\abx@aux@segm{0}{0}{clemens2013feature}
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\abx@aux@cite{0}{ronacher2015computational}
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\abx@aux@segm{0}{0}{ronacher2015computational}
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\abx@aux@page{45}{4}
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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@page{50}{4}
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\abx@aux@page{51}{4}
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\abx@aux@page{52}{4}
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\abx@aux@page{53}{4}
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\abx@aux@page{45}{3}
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\abx@aux@segm{0}{0}{rehbein1974structure}
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\abx@aux@cite{0}{kalmring1975afferent}
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@ -171,21 +153,24 @@
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\abx@aux@segm{0}{0}{rehbein1976auditory}
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\abx@aux@cite{0}{eichendorf1980projections}
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\abx@aux@segm{0}{0}{eichendorf1980projections}
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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@page{54}{5}
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\@writefile{toc}{\contentsline {section}{\numberline {2}Developing a functional model of\\the grasshopper auditory pathway}{5}{}\protected@file@percent }
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\abx@aux@page{50}{5}
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\abx@aux@page{51}{5}
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\abx@aux@page{52}{5}
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\abx@aux@page{55}{5}
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\abx@aux@page{59}{5}
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\abx@aux@page{60}{5}
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\abx@aux@page{61}{5}
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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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@ -199,10 +184,11 @@
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\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Grasshopper auditory system}}{6}{}\protected@file@percent }
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\newlabel{fig:pathway}{{1}{6}{}{}{}}
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\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}Population-driven signal pre-processing}{6}{}\protected@file@percent }
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\abx@aux@page{62}{6}
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\abx@aux@page{63}{6}
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\abx@aux@page{64}{6}
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\abx@aux@page{57}{6}
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\abx@aux@page{58}{6}
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\abx@aux@page{59}{6}
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\newlabel{eq:bandpass}{{1}{6}{}{}{}}
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\abx@aux@page{60}{6}
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\abx@aux@cite{0}{suga1960peripheral}
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\abx@aux@segm{0}{0}{suga1960peripheral}
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\abx@aux@cite{0}{gollisch2002energy}
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@ -213,23 +199,22 @@
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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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\abx@aux@page{61}{7}
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\newlabel{eq:env}{{2}{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:log}{{3}{7}{}{}{}}
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\abx@aux@page{64}{7}
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\abx@aux@page{65}{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{70}{7}
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\abx@aux@page{71}{7}
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@ -242,5 +227,5 @@
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102
main.bbl
102
main.bbl
@ -374,6 +374,46 @@
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\field{pages}{285\bibrangedash 297}
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\field{volume}{32}
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53
main.bcf
53
main.bcf
@ -2403,36 +2403,31 @@
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<bcf:citekey order="39" intorder="1">clemens2010intensity</bcf:citekey>
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<bcf:citekey order="40" intorder="1">hildebrandt2009origin</bcf:citekey>
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<bcf:citekey order="43" intorder="1">ronacher2015computational</bcf:citekey>
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<bcf:citekey order="42" intorder="1">hennig2014time</bcf:citekey>
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<bcf:citekey order="43" intorder="1">clemens2013feature</bcf:citekey>
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<bcf:citekey order="44" intorder="1">ronacher2015computational</bcf:citekey>
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<bcf:citekey order="45" intorder="1">clemens2013feature</bcf:citekey>
|
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<bcf:citekey order="46" intorder="1">clemens2013computational</bcf:citekey>
|
||||
<bcf:citekey order="47" intorder="1">clemens2013feature</bcf:citekey>
|
||||
<bcf:citekey order="48" intorder="1">hennig2014time</bcf:citekey>
|
||||
<bcf:citekey order="49" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="50" intorder="1">clemens2013computational</bcf:citekey>
|
||||
<bcf:citekey order="51" intorder="1">clemens2013feature</bcf:citekey>
|
||||
<bcf:citekey order="52" intorder="1">clemens2013computational</bcf:citekey>
|
||||
<bcf:citekey order="53" intorder="1">clemens2013feature</bcf:citekey>
|
||||
<bcf:citekey order="54" intorder="1">ronacher2015computational</bcf:citekey>
|
||||
<bcf:citekey order="55" intorder="1">rehbein1974structure</bcf:citekey>
|
||||
<bcf:citekey order="56" intorder="1">kalmring1975afferent</bcf:citekey>
|
||||
<bcf:citekey order="57" intorder="1">rehbein1976auditory</bcf:citekey>
|
||||
<bcf:citekey order="58" intorder="1">eichendorf1980projections</bcf:citekey>
|
||||
<bcf:citekey order="59" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="60" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="61" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="62" intorder="1">michelsen1971frequency</bcf:citekey>
|
||||
<bcf:citekey order="63" intorder="1">windmill2008time</bcf:citekey>
|
||||
<bcf:citekey order="64" intorder="1">malkin2014energy</bcf:citekey>
|
||||
<bcf:citekey order="65" intorder="1">machens2001discrimination</bcf:citekey>
|
||||
<bcf:citekey order="66" intorder="1">machens2001representation</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:citekey order="47" intorder="1">rokem2006spike</bcf:citekey>
|
||||
<bcf:citekey order="48" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="49" intorder="1">clemens2012nonlinear</bcf:citekey>
|
||||
<bcf:citekey order="50" intorder="1">rehbein1974structure</bcf:citekey>
|
||||
<bcf:citekey order="51" intorder="1">kalmring1975afferent</bcf:citekey>
|
||||
<bcf:citekey order="52" intorder="1">rehbein1976auditory</bcf:citekey>
|
||||
<bcf:citekey order="53" intorder="1">eichendorf1980projections</bcf:citekey>
|
||||
<bcf:citekey order="54" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="55" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="56" intorder="1">clemens2011efficient</bcf:citekey>
|
||||
<bcf:citekey order="57" intorder="1">michelsen1971frequency</bcf:citekey>
|
||||
<bcf:citekey order="58" intorder="1">windmill2008time</bcf:citekey>
|
||||
<bcf:citekey order="59" intorder="1">malkin2014energy</bcf:citekey>
|
||||
<bcf:citekey order="60" intorder="1">machens2001discrimination</bcf:citekey>
|
||||
<bcf:citekey order="61" intorder="1">machens2001representation</bcf:citekey>
|
||||
<bcf:citekey order="62" intorder="1">suga1960peripheral</bcf:citekey>
|
||||
<bcf:citekey order="63" intorder="1">gollisch2002energy</bcf:citekey>
|
||||
<bcf:citekey order="64" intorder="1">hildebrandt2009origin</bcf:citekey>
|
||||
<bcf:citekey order="65" intorder="1">clemens2010intensity</bcf:citekey>
|
||||
<bcf:citekey order="66" intorder="1">fisch2012channel</bcf:citekey>
|
||||
</bcf:section>
|
||||
<!-- SORTING TEMPLATES -->
|
||||
<bcf:sortingtemplate name="nyt">
|
||||
|
||||
125
main.blg
125
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: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 114, 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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 132, 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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 174, 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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 203, 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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 223, 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
|
||||
[310] Biber.pm:131> WARN - BibTeX subsystem: /tmp/biber_tmp_TN1C/347c261ec4135a5723bef5c751f5078f_86192.utf8, line 243, 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
|
||||
[310] Biber.pm:131> 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
|
||||
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@ -672,24 +672,29 @@ Overfull \hbox (0.27292pt too wide) in paragraph at lines 131--188
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[]\OT1/cmr/bx/n/17.28 Two mech-a-nisms driv-ing the emer-gence of intensity-
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@ -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\\
|
||||
|
||||
Loading…
Reference in New Issue
Block a user