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preamble.tex

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@@ -11,6 +11,7 @@
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%\usepackage{verbatim}
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%\usepackage{soul}
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\usepackage{relsize}
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\usepackage{isomath}
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\newcommand{\mat}[1]{\matrixsym{#1}}
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\usepackage{tikz}
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%\usepackage{pgfplots}
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\usetikzlibrary{arrows,shapes,calc,positioning,matrix,chains}
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\usetikzlibrary{arrows,shapes,shapes.symbols,calc,positioning,matrix,chains}
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%\usepackage{eqparbox}
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%\newsavebox{\tstretchbox}

theory.tex

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@@ -27,33 +27,36 @@ \section{Introduction}
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In the case of ``brain activity mapping,'' imaging is only one piece of the overall puzzle, which looks like this:
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\begin{figure}[p]
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\begin{center}
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\begin{tikzpicture}[
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every node/.style={draw=black,align=center},
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every node/.style={draw=black,align=center, cloud ignores aspect},
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every matrix/.style={row sep=3ex,column sep=0ex},
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prod/.style={draw=none,scale=1.08,inner sep=0pt},
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fof/.style={shape=ellipse},
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choice/.style={},
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rand/.style={},
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unk/.style={shape=cloud},
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blank/.style={draw=none},
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understudy/.style={shape=ellipse}
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]
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\node[draw=none] {\color{white}:};
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\begin{scope}[yshift=-10.5cm,transform canvas={scale=0.7}]
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\begin{scope}[xshift=-2cm,transform canvas={scale=0.78}]
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%\begin{scope}[yshift=-14.5cm,font=\relsize{0.5}]
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\matrix[draw=none] (m) {
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& & & \node[fof] (model) {Estimated \\ Neural Computation \\ (Model)}; & \\
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& & \node(sysid) {System \\ Identification};& \node[prod] (estcomp) {$\bigotimes$};& \node (epistemic) {Epistemic \\ Uncertainty};\\
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& & \node(sysid) {System \\ Identification};& \node[prod] (estcomp) {$\bigotimes$};& \node[unk] (epistemic) {Epistemic \\ Uncertainty};\\
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& & & \node[fof] (esta) {Estimated \\ State \\ History}; & \\
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& & \node (analysis) {Analysis}; & \node[prod] (estap) {$\bigotimes$};& \node (roundoff) {Roundoff \& \\ Approximations};\\
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& & \node[fof] (sensor) {Sensor}; & \node[prod] (frames) {$\bigotimes$};& \node (readn) {Read \\ Noise};\\
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\node[fof] (light) {Light Source}; & & \node[choice] (optics) {Optical \\ System};& \node[prod] (insplane) {$\bigotimes$};& \node (shot) {Shot \\ Noise};\\
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& & \node[choice] (tracking) {Tracking \\ Stage};& \node[prod] (fluorworld) {$\bigotimes$};& \node (mechn) {Mechanical \\ Noise};\\
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& \node (immob) {Immobilization}; & & \node[prod] (fluorposed) {$\bigotimes$};& \node (squirm) {Worm Movement};\\
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& & & \node[prod] (fluor) {$\bigotimes$};& \node (thermo) {Thermodynamic \\ Noise}; \\
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& & \node[choice] (analysis) {Analysis}; & \node[prod] (estap) {$\bigotimes$};& \node[unk] (roundoff) {Roundoff \& \\ Approximations};\\
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& & \node[fof] (sensor) {Sensor}; & \node[prod] (frames) {$\bigotimes$};& \node[unk] (readn) {Read \\ Noise};\\
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\node[fof] (light) {Light Source}; & & \node[choice] (optics) {Optical \\ System};& \node[prod] (insplane) {$\bigotimes$};& \node[unk] (shot) {Shot \\ Noise};\\
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& & \node[choice] (tracking) {Tracking \\ Stage};& \node[prod] (fluorworld) {$\bigotimes$};& \node[unk] (mechn) {Mechanical \\ Noise};\\
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& \node[choice] (immob) {Immobilization}; & & \node[prod] (fluorposed) {$\bigotimes$};& \node[unk] (squirm) {Worm Movement};\\
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& & & \node[prod] (fluor) {$\bigotimes$};& \node[unk] (thermo) {Thermodynamic \\ Noise}; \\
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& & & \node[fof] (statehist) {Measurable State \\ History}; & \\
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& & \node (perturb) {Controlled \\ Perturbations};& \node[prod] (statehisp) {$\bigotimes$}; & \node (squish) {Uncontrolled \\ Environmental \\ Inputs};\\
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& & \node (unwanted) {Unwanted \\ Perturbations \\ \textit{(e.g. Toxicity)}}; & \node[prod] (actualcomp) {$\bigotimes$}; &\node (stochast) {Computational \\ Stochasticity};\\
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& \node[prod] (geneticvar) {$\bigotimes$}; & \node[choice] (genetics) {Genetic \\ Engineering}; & \node[understudy] (neuralcomp) {Natural \\ Neural Computation}; & \node[rand] (varia) {Biological \\ Variability};\\
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& & \node[choice] (perturb) {Controlled \\ Perturbations};& \node[prod] (statehisp) {$\bigotimes$}; & \node[unk] (squish) {Uncontrolled \\ Environmental \\ Inputs};\\
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& & \node[fof] (unwanted) {Unwanted \\ Perturbations \\ \textit{(e.g. Toxicity)}}; & \node[prod] (actualcomp) {$\bigotimes$}; &\node[unk] (stochast) {Computational \\ Stochasticity};\\
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& \node[prod] (geneticvar) {$\bigotimes$}; & \node[choice] (genetics) {Genetic \\ Engineering}; & \node[understudy] (neuralcomp) {Natural \\ Neural Computation}; & \node[unk] (varia) {Biological \\ Variability};\\
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};
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\coordinate (arrowdrop) at ($ (varia.south)+(0,-7mm) $);
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\end{tikzpicture}
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%\begin{tikzpicture}
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%[every node/.style={draw=black,anchor=base,font=\huge}]
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%\matrix (m)
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%{
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%\node {g}; \fill[blue] (0,0) circle (2pt); \\
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%};
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%\end{tikzpicture}
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\end{center}
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\end{figure}
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\end{document}
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