Updated projects

projects/project_noiseficurves/noiseficurves.tex

@@ -6,8 +6,8 @@
 \pagestyle{headandfoot}
 \runningheadrule
 \firstpageheadrule
-\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
-  -- 11/06/2014}
+\firstpageheader{Scientific Computing}{Project Assignment}{11/02/2014
+  -- 11/05/2014}
 %\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
 \firstpagefooter{}{}{{\bf Supervisor:} Jan Benda}
 \runningfooter{}{}{}
@@ -53,15 +53,15 @@
 \begin{questions}
   \question You are recording the activity of a neuron in response to
   constant stimuli of intensity $I$ (think of that, for example,
-  of sound waves with intensities $I$).
+  as a current $I$ injected via a patch-electrode into the neuron).
 
   Measure the tuning curve (also called the intensity-response curve) of the
   neuron.  That is, what is the firing rate of the neuron's response
   as a function of the input $I$. How does this depend on the level of
   the intrinsic noise of the neuron?
 
-The neuron is implemented in the file \texttt{lifspikes.m}.
-    Call it with the following parameters:
+  The neuron is implemented in the file \texttt{lifspikes.m}.  Call it
+  with the following parameters:
     \begin{lstlisting}
 trials = 10;
 tmax = 50.0;
@@ -81,8 +81,13 @@ spikes = lifspikes( trials, input, tmax, Dnoise );
     \part Do the same for various noise strength \texttt{Dnoise}. Use $D_{noise} = 1e-3$,
     1e-2, and 1e-1. How does the intrinsic noise influence the response curve?
 
-    \part Show some interspike interval histograms for some interesting values of the input 
-    and the noise strength.
+    \part Show some interspike interval histograms for some
+    interesting values of the input and the noise strength.
+
+    \part How does the coefficient of variation $CV_{isi}$ (standard
+    deviation divided by mean) of the interspike intervalls depend on
+    the input and the noise level?
+    
 
  \end{parts}