Jan und Fabian spellchecker

projects/project_noiseficurves/noiseficurves.tex

@@ -1,4 +1,4 @@
-\documentclass[addpoints,10pt]{exam}
+\documentclass[addpoints,11pt]{exam}
 \usepackage{url}
 \usepackage{color}
 \usepackage{hyperref}
@@ -9,7 +9,7 @@
 \firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
   -- 11/06/2014}
 %\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
-\firstpagefooter{}{}{}
+\firstpagefooter{}{}{{\bf Supervisor:} Jan Benda}
 \runningfooter{}{}{}
 \pointsinmargin
 \bracketedpoints
@@ -31,7 +31,7 @@
 % captionpos=t,
  xleftmargin=2em,
  xrightmargin=1em,
-% aboveskip=10pt,
+% aboveskip=11pt,
  %title=\lstname,
 % title={\protect\filename@parse{\lstname}\protect\filename@base.\protect\filename@ext}
  }
@@ -60,21 +60,21 @@
   as a function of the input $I$. How does this depend on the level of
   the intrinsic noise of the neuron?
 
-  \begin{parts}
-    \part The neuron is implemented in the file \texttt{lifspikes.m}.
+The neuron is implemented in the file \texttt{lifspikes.m}.
     Call it with the following parameters:
     \begin{lstlisting}
-      trials = 10;
-      tmax = 50.0;
-      input = 10.0;  % the input I
-      Dnoise = 1.0;  % noise strength
+trials = 10;
+tmax = 50.0;
+input = 10.0;  % the input I
+Dnoise = 1.0;  % noise strength
 
-      spikes = lifspikes( trials, input, tmax, Dnoise );
+spikes = lifspikes( trials, input, tmax, Dnoise );
     \end{lstlisting}
     The returned \texttt{spikes} is a cell array with \texttt{trials} elements, each being a vector
     of spike times (in seconds) computed for a duration of \texttt{tmax} seconds.
     The input is set via the \texttt{input} variable, the noise strength via \texttt{Dnoise}.
 
+  \begin{parts}
     \part First set the noise \texttt{Dnoise=0} (no noise). Compute and plot the firing rate
     as a function of the input for inputs ranging from 0 to 20.