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improved the text

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Jan Benda 2014-11-01 15:59:05 +01:00
parent 25d193d71f
commit 2b1b38f740
1 changed files with 9 additions and 7 deletions
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projects/project_fano_test/fano.tex Executable file → Normal file
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@ -33,9 +33,11 @@
\begin{questions} \begin{questions}
\question The Fano factor $\frac{\sigma^2}{\mu}$ is a common measure \question The Fano factor $F=\frac{\sigma^2}{\mu}$ relates the
in neural coding because a Poisson process---for which each spike is variance of a spike count $\sigma^2$ to the mean spike count
independent of every other---has a Fano factor of one. $\mu$. 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 The table contains spike counts from a neuron measured in twelve
trials. trials.
@ -43,9 +45,9 @@
\begin{center} \begin{center}
\begin{tabular}{cccc} \begin{tabular}{cccc}
\multicolumn{4}{c}{\bf number of spikes} \\ \hline\\ \multicolumn{4}{c}{\bf number of spikes} \\ \hline\\
36.00 & 28.00 & 38.00 & 35.00\\ 36 & 28 & 38 & 35\\
32.00 & 30.00 & 35.00 & 29.00\\ 32 & 30 & 35 & 29\\
29.00 & 24.00 & 26.00 & 34.00 29 & 24 & 26 & 34
\end{tabular} \end{tabular}
\end{center} \end{center}
@ -56,7 +58,7 @@
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 Plot the spike counts appropriately.
\part Implement the test and use that it on the data above. \part Implement the test and use it on the data above.
\end{parts} \end{parts}
\end{questions} \end{questions}