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scientificComputing/projects/project_fano_test/fano_test.tex

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\documentclass[a4paper,12pt,pdftex]{exam}
\newcommand{\ptitle}{Fano factor test}
\input{../header.tex}
\firstpagefooter{Supervisor: Jan Benda}{phone: 29 74573}%
{email: jan.benda@uni-tuebingen.de}
\begin{document}
\input{../instructions.tex}
%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
\begin{questions}
\question The Fano factor $F=\frac{\sigma^2}{\mu}$ relates the
variance of a spike count $\sigma^2$ to the mean spike count
$\mu$. It 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 accompanying file contains two vectors with spike counts from
two neurons each measured in a time window of 1s.
\begin{parts}
\part Plot the spike counts of both neurons appropriately.
\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 Implement the test and use it on the data above.
\end{parts}
\end{questions}
\end{document}