fano correction

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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 $\mu$. It is a common measure in neural coding because a Poisson
process---for which each spike is independent of every other---has a process---for which each spike is independent of every other---has a
Fano factor of one. Fano factor of one.
The table contains spike counts from a neuron measured in twelve The accompanying file contains two vectors with spike counts from
trials. two neurons measured in a time window of 1s.
\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}
\begin{parts} \begin{parts}
\part Plot the spike counts of both neurons appropriately.
\part Use {\em Eden, U. T., \& Kramer, M. (2010). Drawing \part Use {\em Eden, U. T., \& Kramer, M. (2010). Drawing
inferences from Fano factor calculations. Journal of inferences from Fano factor calculations. Journal of
neuroscience methods, 190(1), 149--152} to construct a test that neuroscience methods, 190(1), 149--152} to construct a test that
uses the Fano factor as test statistic and tests against the Null uses the Fano factor as test statistic and tests against the Null
hypothesis that the spike counts come from a Poisson process. 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. \part Implement the test and use it on the data above.
\end{parts} \end{parts}