fano correction

This commit is contained in:
Fabian Sinz 2014-11-03 09:39:01 +01:00
parent 3a13efad3a
commit f6e8604aea

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@ -38,26 +38,17 @@
$\mu$. 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 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 & 28 & 38 & 35\\
32 & 30 & 35 & 29\\
29 & 24 & 26 & 34
\end{tabular}
\end{center}
The accompanying file contains two vectors with spike counts from
two neurons 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 Plot the spike counts appropriately.
\part Implement the test and use it on the data above.
\end{parts}