[projects] little updates

projects/project_lif/lif.tex

@@ -96,7 +96,7 @@ time = [0.0:dt:tmax]; % t_i
 
     Write a function that implements this leaky integrate-and-fire
     neuron by expanding the function for the passive neuron
-    appropriate. The function returns a vector of spike times.
+    appropriately. The function returns a vector of spike times.
 
     Illustrate how this model works by appropriate plot(s) and
     input(s) $E(t)$, e.g. constant inputs lower and higher than the
@@ -115,8 +115,8 @@ time = [0.0:dt:tmax]; % t_i
       r = \frac{n-1}{t_n - t_1}
     \end{equation}
     What do you observe? Does the firing rate encode the frequency of
-    the stimulus? Look at the spike trains in response the sine waves
-    to figure out what is going on.
+    the stimulus? Look at the spike trains in response to the sine
+    waves to figure out what is going on.
   \end{parts}
 
 \end{questions}