[project_photoreceptor] beter descriptions
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%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
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\section*{Analysis of insect photoreceptor data.}
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\section*{Light responses of an insect photoreceptor.}
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In this project you will analyse data from intracellular recordings of
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a fly R\.1--6 photoreceptor. The membrane potential of the
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photoreceptor was recorded while the cell was stimulated with a
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light stimulus.
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a fly R\,1--6 photoreceptor. These cells show graded membrane
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potential changes in response to a light stimulus. The membrane
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potential of the photoreceptor was recorded while the cell was
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stimulated with a light stimulus. Intracellular recordings often
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suffer from drifts in the resting potential. This leads to a large
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variability in the responses which is technical and not a cellular
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property. To compensate for such drifts trials are aligned to the
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resting potential before stimulus onset.
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\begin{questions}
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\question{} The accompanying dataset (photoreceptor\_data.zip)
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@ -24,22 +29,28 @@ light stimulus.
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\textit{voltage} a matrix with the recorded membrane potential from
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10 consecutive trials, (ii) \textit{time} a matrix with the
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time-axis for each trial, and (iii) \textit{trace\_meta} a structure
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that stores several metadata. This is the place where you find the
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\emph{amplitude}, that is the voltage that drives the light
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stimulus, i.e. the light-intensity.
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that stores several metadata including the \emph{amplitude} value
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that is the voltage used to drive the light stimulus. (Note that
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this voltage is only a proxy for the true light intensity. Twice the
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voltage does not lead to twice the light intensity. Within this
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project, however, you can treat it as if it was the intensity.)
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\begin{parts}
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\part{} Create a plot of the raw data. Plot the average response as
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a function of time. This plot should also show the
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across-trial variability.\\[0.5ex]
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\part{} Create a plot of the raw data. For each light intensity plot the average response
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as a function of time. This plot should also depict the across-trial
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variability in an appropriate way.\\[0.5ex]
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\part{} You will notice that the responses have three main parts, a
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pre-stimulus phase, the phase in which the light was on, and
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finally a post-stimulus phase. Create an characteristic curve that
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plots the response strength as a function of the stimulus
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intensity for the ``onset'' and the ``steady state''
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phases.\\[0.5ex]
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\part{} The light switches on at time zero. Estimate the delay between stimulus.\\[0.5ex]
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\part{} You may also decide to analyze the post-stimulus response in some
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phases of the light response.\\[0.5ex]
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\part{} The light switches on at time zero. Estimate the delay between stimulus and response.\\[0.5ex]
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\part{} Analyze the across trial variability in the ``onset'' and ``steady state''. Check for statistically significant differences.
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\pate{} The membrane potential shows some fluctuations (noise)
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compare the noise before stimulus onset and in the steady state
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phase of the response.
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\part{} (optional) You may also analyze the post-stimulus response in some
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more detail.
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\end{parts}
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\end{questions}
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