project assignment text

projects/project_steady_fi/Makefile

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+latex:
+	pdflatex *.tex > /dev/null
+	pdflatex *.tex > /dev/null
+
+clean:
+	rm -rf *.log *.aux *.zip *.out auto
+	rm -f `basename *.tex .tex`.pdf
+
+zip: latex
+	zip `basename *.tex .tex`.zip *.pdf *.dat *.mat

projects/project_steady_fi/steady_state_fi.tex

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+\documentclass[addpoints,11pt]{exam}
+\usepackage{url}
+\usepackage{color}
+\usepackage{hyperref}
+
+\pagestyle{headandfoot}
+\runningheadrule
+\firstpageheadrule
+\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
+  -- 11/06/2014}
+%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
+\firstpagefooter{}{}{}
+\runningfooter{}{}{}
+\pointsinmargin
+\bracketedpoints
+
+%\printanswers
+%\shadedsolutions
+
+
+\begin{document}
+%%%%%%%%%%%%%%%%%%%%% Submission instructions %%%%%%%%%%%%%%%%%%%%%%%%%
+\sffamily
+% \begin{flushright}
+% \gradetable[h][questions]
+% \end{flushright}
+
+\begin{center}
+  \input{../disclaimer.tex}
+\end{center}
+
+%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
+\section*{Quantifying the responsiveness of a neuron using the F-I curve.}
+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 electrorecptor to a stimulus of a
+  certain intensity, i.e. the \textit{contrast}. The contrast is also
+  part of the file name itself.
+  \begin{parts}
+    \part Estimate for each stimulus intensity 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 in the last 100 ms before stimulus
+    offset and plot it against the stimulus intensity, respectively the
+    contrast, in an appropriate way.
+    \part Fit a Boltzmann function to the FI-curve. The Boltzmann function
+    is defined as:
+    \begin{equation}
+       y=\frac{\alpha-\beta}{1+e^{(x-x_0)/dx}}+\beta,
+    \end{equation}
+    where $\alpha$ is the starting firing rate, $\beta$ the saturation
+    firing rate, $x$ the current stimulus intensity, $x_0$ starting
+    stimulus intensity, and $dx$ a measure of the slope.
+  \end{parts}
+\end{questions}
+
+
+
+
+
+\end{document}