Updated projects

projects/project_mutualinfo/mutualinfo.tex

@@ -6,10 +6,10 @@
 \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:} Fabian Sinz}
+\firstpagefooter{}{}{{\bf Supervisor:} Jan Benda}
 \runningfooter{}{}{}
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@@ -33,7 +33,7 @@
 
 \begin{questions}
   \question A subject was presented two possible objects for a very
-  brief time ($50$ms). The task of the subject was to report which of
+  brief time ($50$\,ms). The task of the subject was to report which of
   the two objects was shown. In {\tt decisions.mat} you find an array
   that stores which object was presented in each trial and which
   object was reported by the subject. 
@@ -50,6 +50,10 @@
     information $$I[x:y] = \sum_{x\in\{1,2\}}\sum_{y\in\{1,2\}} P(x,y)
     \log_2\frac{P(x,y)}{P(x)P(y)}$$ that the answers provide about the
     actually presented object. 
+
+    The mutual information is a measure from information theory that is
+    used in neuroscience to quantify, for example, how much information
+    a spike train carries about a sensory stimulus.
     \part What is the maximally achievable mutual information (try to
     find out by generating your own dataset which naturally should
     yield maximal information)?