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scientificComputing/projects/project_fano_test/fano.tex
2014-10-31 14:22:05 +01:00

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\documentclass[addpoints,10pt]{exam}
\usepackage{url}
\usepackage{color}
\usepackage{hyperref}
\pagestyle{headandfoot}
\runningheadrule
\firstpageheadrule
\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
-- 11/06/2014}
%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
\firstpagefooter{}{}{}
\runningfooter{}{}{}
\pointsinmargin
\bracketedpoints
%\printanswers
%\shadedsolutions
\begin{document}
%%%%%%%%%%%%%%%%%%%%% Submission instructions %%%%%%%%%%%%%%%%%%%%%%%%%
\sffamily
% \begin{flushright}
% \gradetable[h][questions]
% \end{flushright}
\begin{center}
\input{../disclaimer.tex}
\end{center}
%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
\begin{questions}
\question The Fano factor $\frac{\sigma^2}{\mu}$ is a common measure
in neural coding because a Poisson process---for which each spike is
independent of every other---has a Fano factor of one.
The table contains spike counts from a neuron measured in twelve
trials.
\begin{center}
\begin{tabular}{cccc}
\multicolumn{4}{c}{\bf number of spikes} \\ \hline\\
36.00 & 28.00 & 38.00 & 35.00\\
32.00 & 30.00 & 35.00 & 29.00\\
29.00 & 24.00 & 26.00 & 34.00
\end{tabular}
\end{center}
\begin{parts}
\part Use {\em Eden, U. T., \& Kramer, M. (2010). Drawing
inferences from Fano factor calculations. Journal of
neuroscience methods, 190(1), 149--152} to construct a test that
uses the Fano factor as test statistic and tests against the Null
hypothesis that the spike counts come from a Poisson process.
\part Plot the spike counts appropriately.
\part Implement the test and use that it on the data above.
\end{parts}
\end{questions}
\end{document}