finished solutions for spike counts
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pointprocesses/exercises/fanoplotslifadapt.pdf
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pointprocesses/exercises/fanoplotslifadapt.pdf
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pointprocesses/exercises/fanoplotspifou.pdf
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pointprocesses/exercises/fanoplotspifou.pdf
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pointprocesses/exercises/fanoplotspoisson.pdf
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pointprocesses/exercises/fanoplotspoisson.pdf
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@@ -195,7 +195,7 @@ jan.benda@uni-tuebingen.de}
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\end{parts}
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\continue
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\continuepage
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\question \qt{Statistics of spike counts}
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Now let's have a look at the statistics of the spike counts.
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@@ -208,18 +208,25 @@ jan.benda@uni-tuebingen.de}
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width.
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\begin{solution}
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\lstinputlisting{../code/spikecounts.m}
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% XXX
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\newsolutionpage
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\lstinputlisting{../code/spikecountshists.m}
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\colorbox{white}{\includegraphics[width=1\textwidth]{spikecountshists}}
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\end{solution}
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\part Write a function that computes for a range from window
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\newsolutionpage
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\part Write a function that computes for a range of window
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widths the mean, the variance and the Fano factor of the
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corresponding spike counts. The function should the generate two
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corresponding spike counts. The function should generate two
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plots. One showing the spike count variance in dependence on the
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mean spike count. The other plot showing the Fano factor as a
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function of window width.
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\begin{solution}
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\lstinputlisting{../code/fanoplot.m}
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% XXX
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\newsolutionpage
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\lstinputlisting{../code/fanoplots.m}
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\colorbox{white}{\includegraphics[width=1\textwidth]{fanoplotspoisson}}
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\colorbox{white}{\includegraphics[width=1\textwidth]{fanoplotspifou}}
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\colorbox{white}{\includegraphics[width=1\textwidth]{fanoplotslifadapt}}
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\end{solution}
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\end{parts}
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pointprocesses/exercises/spikecountshists.pdf
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pointprocesses/exercises/spikecountshists.pdf
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