diff --git a/projects/project_photoreceptor/photoreceptor.tex b/projects/project_photoreceptor/photoreceptor.tex index bebfbb7..e80b8bb 100644 --- a/projects/project_photoreceptor/photoreceptor.tex +++ b/projects/project_photoreceptor/photoreceptor.tex @@ -11,11 +11,16 @@ %%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%% -\section*{Analysis of insect photoreceptor data.} +\section*{Light responses of an insect photoreceptor.} 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. +a fly R\,1--6 photoreceptor. These cells show graded membrane +potential changes in response to a light stimulus. The membrane +potential of the photoreceptor was recorded while the cell was +stimulated with a light stimulus. Intracellular recordings often +suffer from drifts in the resting potential. This leads to a large +variability in the responses which is technical and not a cellular +property. To compensate for such drifts trials are aligned to the +resting potential before stimulus onset. \begin{questions} \question{} The accompanying dataset (photoreceptor\_data.zip) @@ -24,22 +29,28 @@ light stimulus. \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. - + that stores several metadata including the \emph{amplitude} value + that is the voltage used to drive the light stimulus. (Note that + this voltage is only a proxy for the true light intensity. Twice the + voltage does not lead to twice the light intensity. Within this + project, however, you can treat it as if it was the 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{} Create a plot of the raw data. For each light intensity plot the average response + as a function of time. This plot should also depict the across-trial + variability in an appropriate way.\\[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 + phases of the light response.\\[0.5ex] + \part{} The light switches on at time zero. Estimate the delay between stimulus and response.\\[0.5ex] + \part{} Analyze the across trial variability in the ``onset'' and ``steady state''. Check for statistically significant differences. + \pate{} The membrane potential shows some fluctuations (noise) + compare the noise before stimulus onset and in the steady state + phase of the response. + \part{} (optional) You may also analyze the post-stimulus response in some more detail. \end{parts} \end{questions}