diff --git a/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex b/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
index eae2513..54fe252 100644
--- a/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
+++ b/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
@@ -15,24 +15,24 @@ To analyse encoding properties of a neuron one often calculates the
 Spike-Triggered-Average (STA). The STA is the average stimulus that
 led to a spike in the neuron and is calculated by cutting out snippets
 form the stimulus centered on the respective spike time:
-\[ STA(\tau) = \frac{1}{n} \displaystyle\sum_{i=1}^{n}{s(t_i - \tau)} \],
+\[ STA(\tau) = \frac{1}{n} \displaystyle\sum_{i=1}^{n}{s(t_i - \tau)} \]
 where $n$ is the number of trials and $t_i$ is the time of the
 $i_{th}$ spike. The Spike-Triggered-Average can be used to reconstruct
 the stimulus from the neuronal response. The reconstructed stimulus
 can then be compared to the original stimulus.
 
 \begin{questions}
-  \question In the accompanying files you find the spike responses of
-  a p-type electroreceptor afferent (P-unit) and a pyramidal neurons
+  \question In the accompanying data files you find the spike responses of
+  a p-type electroreceptor afferent (P-unit) and a pyramidal neuron
   recorded in the hindbrain of the weakly electric fish
   \textit{Apteronotus leptorhynchus}. The respective stimuli are
   stored in separate files. The data is sampled with 20\,kHz temporal
   resolution and spike times are given in seconds. Start with the
   P-unit and, in the end, apply the same analyzes/functions to the
-  pyramidal data.
+  responses from the pyramidal neuron.
   \begin{parts}
-    \part Estimate the STA and plot it.
-    \part Implement a function that does the reverse reconstruction and uses the STA to recopnstruct the stimulus.
+    \part Estimate the STA and plot it. What does it tell?
+    \part Implement a function that does the reverse reconstruction and uses the STA to reconstruct the stimulus.
     \part Implement a function that estimates the reconstruction 
     error using the mean-square-error and express it relative to the
     variance of the original stimulus.
@@ -45,7 +45,8 @@ can then be compared to the original stimulus.
     the STA with less and less data and estimate the reconstruction
     error.
     \part Plot the reconstruction error as a function of the amount of data 
-    used to estimate the STA.
+    used to estimate the STA and apply a statistical test to test if
+    estimating the STA from more data improves the reconstruction.
     \part Repeat the above steps for the pyramidal neuron, what do you
     observe?
   \end{parts}