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scientificComputing/projects/project_ficurves/ficurves.tex

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\documentclass[a4paper,12pt,pdftex]{exam}
\newcommand{\ptitle}{F-I curves}
\input{../header.tex}
\firstpagefooter{Supervisor: Jan Grewe}{phone: 29 74588}%
{email: jan.grewe@uni-tuebingen.de}
\begin{document}
\input{../instructions.tex}
%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
\section{Quantifying the responsiveness of a neuron by its F-I curves}
The responsiveness of a neuron is often quantified using an F-I
curve. The F-I curve plots the \textbf{F}iring rate of the neuron as a
function of the stimulus \textbf{I}ntensity.
\begin{questions}
\question In the accompanying datasets you find the
\textit{spike\_times} of an P-unit electroreceptor of the weakly
electric fish \textit{Apteronotus leptorhynchus} to a stimulus of a
certain intensity, i.e. the \textit{contrast}. The spike times are
given in milliseconds relative to the stimulus onset.
\begin{parts}
\part For each stimulus intensity estimate the average response
(PSTH) and plot it. You will see that there are three parts. (i)
The first 200\,ms is the baseline (no stimulus) activity. (ii)
During the next 1000\,ms the stimulus was switched on. (iii) After
stimulus offset the neuronal activity was recorded for further
825\,ms.
\part Extract the neuron's activity for every 50\,ms after
stimulus onset and for one 50\,ms slice before stimulus onset.
For each time slice plot the resulting F-I curve by plotting the
computed firing rates against the corresponding stimulus
intensity, respectively the contrast.
\part Fit a Boltzmann function to each of the F-I-curves. The
Boltzmann function is a sigmoidal function and is defined as
\begin{equation}
f(x) = \frac{\alpha-\beta}{1+e^{-k(x-x_0)}}+\beta \; .
\end{equation}
$x$ is the stimulus intensity, $\alpha$ is the starting
firing rate, $\beta$ the saturation firing rate, $x_0$ defines the
position of the sigmoid, and $k$ (together with $\alpha-\beta$)
sets the slope.
Before you do the fitting, familiarize yourself with the four
parameter of the Boltzmann function. What is its value for very
large or very small stimulus intensities? How does the Boltzmann
function change if you change either of the parameter?
How could you get good initial estimates for the parameter?
Do the fits and show the resulting Boltzmann functions together
with the corresponding data.
\part Illustrate how the F-I curves change in time also by means
of the parameter you obtained from the fits with the Boltzmann
function.
Which parameter stay the same, which ones change with time?
Support your conclusion with appropriate statistical tests.
\part Discuss you results with respect to encoding of different
stimulus intensities.
\end{parts}
\end{questions}
\end{document}