update firing rate exercise

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Jan Grewe 2020-01-17 09:59:01 +01:00
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\usepackage[left=20mm,right=20mm,top=25mm,bottom=25mm]{geometry}
\pagestyle{headandfoot} \header{{\bfseries\large Exercise
}}{{\bfseries\large Time-dependent firing rate}}{{\bfseries\large December, 04, 2018}}
}}{{\bfseries\large Time-dependent firing rate}}{{\bfseries\large January, 14, 2020}}
\firstpagefooter{Dr. Jan Grewe}{Phone: 29 74588}{Email:
jan.grewe@uni-tuebingen.de} \runningfooter{}{\thepage}{}
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\begin{questions}
\question Plot the time-dependent firing rate of a neuron. Calculate
the firing rate from the instantaneous firing rate (based on the
the firing rate from the \emph{instantaneous firing rate} (based on the
interspike interval). Use the \code{lifoustim.mat}. The dataset
contains three variables. 1st the spike times in different trials,
2nd the stimulus, and 3rd the temporal resolution. The total
2nd the stimulus, and 3rd the temporal resolution of the recording. The total
duration of each trial is 30 seconds.
\begin{parts}
\part{} Write a function that takes three arguments: the spike
times of a single trial, the trial duration and the temporal
resolution. The function should return the time values and the
firing rate in $Hz$.
resolution. The function should return two variables: the time axis and the
time-dependent firing rate.
\part{} Write a script that applies the above function to estimate
the firing rate of each trial. Plot a single individual responses
and the average response as a function of time into the same plot.
\part{} Extend your program that it saves the figure with the width of 8.5\,cm using a fontsize of 10\,pt for labels.
See Chapter 3 in the script, or browse the Matlab help for information.
\part{} Store the figure in pdf format.
the time-dependent firing rate of each trial. Plot the firing rates of the individual responses
and the average response as a function of time into the same graph.
\part{} Extend your program that it saves the figure with the width and height of 8.5\,cm using a fontsize of 10\,pt for labels.
See Chapter 3 in the script, or browse the Matlab help for more
information. Store the figure in pdf format.
\end{parts}
\question{} As before but use the binning method.
@ -65,11 +65,11 @@
\question{} Some trials are different than the others.
\begin{parts}
\part{} Use the rasterplot to identify them. In which sense
\part{} Use a rasterplot to identify them. In which sense
are they different? Save the rasterplot in pdf
format. Use the same size as above and make sure it is properly labeled.
\part{} Identify the trials in which the spike count
deviates more than $2\sigma$ from the average.
format. Use the same figure specifications as above and make sure it is properly labeled.
\part{} Identify those trials in which the spike count
deviates more than $2\sigma$ (twice the standard deviation) from the average.
\end{parts}
\end{questions}