diff --git a/projects/project_adaptation_fit/adaptation_fit.tex b/projects/project_adaptation_fit/adaptation_fit.tex
index c3bd66c..5b9c451 100644
--- a/projects/project_adaptation_fit/adaptation_fit.tex
+++ b/projects/project_adaptation_fit/adaptation_fit.tex
@@ -36,7 +36,7 @@ electroreceptors of the weakly electric fish \textit{Apteronotus
     for the PSTH.
 
     \part Estimate the adaptation time-constant for both the stimulus
-    on- and offset. To do this fit an exponential function
+    on- and offset. To do this, fit an exponential function
     $f_{A,\tau,y_0}(t)$ to appropriate regions of the data:
     \begin{equation}
        f_{A,\tau,y_0}(t) = A \cdot e^{-\frac{t}{\tau}} + y_0,
diff --git a/projects/project_numbers/numbers.tex b/projects/project_numbers/numbers.tex
index 47d51b4..9b6933c 100644
--- a/projects/project_numbers/numbers.tex
+++ b/projects/project_numbers/numbers.tex
@@ -1,6 +1,6 @@
 \documentclass[a4paper,12pt,pdftex]{exam}
 
-\newcommand{\ptitle}{Number coding}
+\newcommand{\ptitle}{Neuronal encoding of quantities}
 \input{../header.tex}
 \firstpagefooter{Supervisor: Jan Grewe}{phone: 29 74588}%
 {email: jan.grewe@uni-tuebingen.de}
@@ -18,19 +18,25 @@
   macaque prefrontal cortex (data courtesy of Prof. Nieder). The task
   of the monkey was to discriminate point-sets with 1 to 4 points. The
   first column contains the number of points shown plus one. The
-  remaining columns contain the spike response across 1300\,ms. During
-  the first 500\,ms the monkey was fixating a target. The next 800\,ms the
-  stimulus was shown. This was followed by 1000\,ms delay time before
-  the monkey was allowed to respond.
+  remaining columns contain the spike response across 2300\,ms. During
+  the first 500\,ms the monkey was fixating a target. The stimulus was
+  shown for the next 800\,ms. This period was followed
+  by 1000\,ms delay before the monkey was allowed to respond.
   
   \begin{parts}
-    \part Plot the data in an appropriate way. 
+    \part Plot the data in an appropriate way (e.g. a rasterplot). 
     \part Sort the trials according to the stimulus presented and
-    compute the firing rate (in Hz) in the time interval
-    500-1300\,ms. Plot the firing rate in an appropriate way. 
+    compute plot for each condition the firing rate as a function of
+    time. The plot should illustrate the average response and the variability of the data.
+    \part Extract the average firing rates for the time
+    intervals 0-499\,ms, 500-1299\,ms and 1300-2299\,ms. Plot them in
+    an appropriate way that illustrates the average and the the across
+    trial variability. Do these measures correlate with the stimulus
+    condition? Test it!
     \part Use an appropriate test to determine whether the firing rate
-    in that interval is significantly different for 1 vs. 4 points
-    shown.
+    in the interval 500-1299\,ms is statistically significantly
+    different for 1 vs. 4 points. Is it statistically significantly
+    different from the first 500\,ms period?
   \end{parts}
 \end{questions}