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scientificComputing/projects/project_photoreceptor/photoreceptor.tex

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\documentclass[addpoints,11pt]{exam}
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\firstpageheader{Scientific Computing}{Project Assignment}{WS 2016/17}
%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
\firstpagefooter{}{}{{\bf Supervisor:} Jan Grewe}
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\begin{document}
%%%%%%%%%%%%%%%%%%%%% Submission instructions %%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{center}
\input{../disclaimer.tex}
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\section*{Analysis of insect photoreceptor data.}
In this project you will analyse data from intracellular recordings of
a fly R\.1--6 photoreceptor. The membrane potential of the
photoreceptor was recorded while the cell was stimulated with a
light stimulus.
\begin{questions}
\question{} The accompanying dataset (photoreceptor\_data.zip)
contains seven mat files. Each of these holds the data from one
stimulus intensity. In each file are three variables. (i)
\textit{voltage} a matrix with the recorded membrane potential from
10 consecutive trials, (ii) \textit{time} a matrix with the
time-axis for each trial, and (iii) \textit{trace\_meta} a structure
that stores several metadata. This is the place where you find the
\emph{amplitude}, that is the voltage that drives the light
stimulus, i.e. the light-intensity.
\begin{parts}
\part{} Create a plot of the raw data. Plot the average response as
a function of time. This plot should also show the
across-trial variability.\\[0.5ex]
\part{} You will notice that the responses have three main parts, a
pre-stimulus phase, the phase in which the light was on, and
finally a post-stimulus phase. Create an characteristic curve that
plots the response strength as a function of the stimulus
intensity for the ``onset'' and the ``steady state''
phases.\\[0.5ex]
\part{} The light switches on at time zero. Estimate the delay between stimulus.\\[0.5ex]
\part{} You may also decide to analyze the post-stimulus response in some
more detail.
\end{parts}
\end{questions}
\end{document}