Updated projects

projects/project_fano_time/fano_time.tex

@@ -79,6 +79,17 @@ spikes = lifadaptspikes( trials, input, tmax, Dnoise, adapttau, adaptincr );
     elements, each being a vector of spike times (in seconds) computed
     for a duration of \texttt{tmax} seconds.
 
+    Think of calling the \texttt{lifadaptspikes()} function as a
+    simple way of doing an electrophysiological experiment. You are
+    presenting a stimulus with a constant intensity $I$ that you set. The
+    neuron responds to this stimulus, and you record this
+    response. After detecting the timepoints of the spikes in your
+    recordings you get what the \texttt{lifadaptspikes()} function
+    returns. The advantage over real data is, that you have the
+    possibility to simply modify the properties of the neuron via the
+    \texttt{Dnoise}, \texttt{adapttau}, and
+    \texttt{adaptincr} parameter.
+
     For the two inputs $I_1$ and $I_2$ use
     \begin{lstlisting}
 input = 65.0; % I_1