fixed lif and noisefi projects

projects/project_lif/lif.tex

@@ -58,7 +58,7 @@ time = [0.0:dt:tmax]; % t_i
     \part Response of the passive membrane to a step input. 
 
     Set $V_0=0$. Construct a vector for the input $E(t)$ such that
-    $E(t)=0$ for $t\le 20$\,ms and $t\ge 70$\,ms and $E(t)=10$\,mV for
+    $E(t)=0$ for $t\le 20$\,ms or $t\ge 70$\,ms, and $E(t)=10$\,mV for
     $20$\,ms $<t<70$\,ms. Plot $E(t)$ and the resulting $V(t)$ for
     $t_{max}=120$\,ms.
 
@@ -92,7 +92,7 @@ time = [0.0:dt:tmax]; % t_i
     spike'' only means that we note down the time of the threshold
     crossing as a time where an action potential occurred. The
     waveform of the action potential is not modeled. Here we use a
-    voltage threshold of one.
+    voltage threshold of 1\,mV.
 
     Write a function that implements this leaky integrate-and-fire
     neuron by expanding the function for the passive neuron
@@ -114,7 +114,6 @@ time = [0.0:dt:tmax]; % t_i
       \label{firingrate}
       r = \frac{n-1}{t_n - t_1}
     \end{equation}
-
     What do you observe? Does the firing rate encode the frequency of
     the stimulus?
   \end{parts}