diff --git a/projects/project_eod/eod.tex b/projects/project_eod/eod.tex
index cb9bc23..74b8a85 100644
--- a/projects/project_eod/eod.tex
+++ b/projects/project_eod/eod.tex
@@ -39,14 +39,15 @@
     \part Load and plot the data in an appropriate way. Time is in
     seconds and the voltage is in mV/cm.
     \part Fit the following curve to the eod (select a small time
-    window, a few tens of milliseconds, for fitting, not the entire
-    trace) using least squares:
+    window, containing only 2 or three electric organ discharges, for
+    fitting, not the entire trace) using least squares:
     $$f_{\omega_0,b_0,\varphi_1, ...,\varphi_n}(t) = b_0 +
-    \sum_{j=1}^n \sin(2\pi j\omega_0\cdot t + \varphi_j ).$$
-    $\omega_0$ is called {\em fundamental frequency}. The single terms
-    $\sin(2\pi j\omega_0\cdot t + \varphi_j )$ are called {\em
-      harmonic components}. The variables $\varphi_j$ are called {\em
-      phases}. For the beginning choose $n=3$. 
+    \sum_{j=1}^n \alpha_j \cdot \sin(2\pi j\omega_0\cdot t + \varphi_j
+    ).$$ $\omega_0$ is called {\em fundamental frequency}. The single
+    terms $\alpha_j \cdot \sin(2\pi j\omega_0\cdot t + \varphi_j )$
+    are called {\em harmonic components}. The variables $\varphi_j$
+    are called {\em phases}, the $\alpha_j$ are the amplitudes. For
+    the beginning choose $n=3$.
     \part Try different choices of $n$ and see how the fit
     changes. Plot the fits and the original curve for different
     choices of $n$. Also plot the fitting error as a function of
diff --git a/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex b/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
index 3a44cf2..7e185b6 100644
--- a/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
+++ b/projects/project_stimulus_reconstruction/stimulus_reconstruction.tex
@@ -51,6 +51,8 @@ reconstruct the stimulus a neuron has been stimulated with.
   data.
   \begin{parts}
     \part Estimate the STA and plot it.
+    \part Implement a function that does the reconstruction of the
+    stimulus using the STA.
     \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.