update face_selectivity.tex

projects/project_face_selectivity/face_selectivity.tex

@@ -83,8 +83,8 @@ categories.
     Now, determine the periods within which the neurons activity
     deviates from the baseline activity at least by $2*\sigma$. Do
     this for each object category and mark the periods in the plots in
-    an appropriate way. Are there also neurons that do not repond to the 
-    visual stimulation or exhibit inhibitory responses? \par
+    an appropriate way. Are there also neurons that do not repond to
+    the visual stimulation or exhibit inhibitory responses? \par
     
 
   \part
@@ -105,8 +105,8 @@ categories.
     underestimate the $SI$. Therefor, you should limit the estimate to
     periods of significant modulations. Use the periods determined in
     (d). Store all obtained $SI$s within one variable. We are mainly
-    interested to identify face-selective neurons but feel free to test
-    the neurons for selectivity to other categories, as well.
+    interested to identify face-selective neurons but feel free to
+    test the neurons for selectivity to other categories, as well.
     
   \part
     Plot the distribution of $SI$ values and describe it
@@ -120,10 +120,10 @@ categories.
     $\alpha = 0.05$? Is it an all or nothing selectivity?
     
   \part 
-	Take a look at the time resolved firing rates of the identified 
-    face-selective neurons and examine their reponse properties. What is 
-	their response-latency (choose an appropriate visualisation), is their 
-	response phasic or tonic. 
+    Take a look at the time resolved firing rates of the identified
+    face-selective neurons and examine their response properties. What
+    is their response-latency (choose an appropriate visualisation),
+    is their response phasic or tonic.
 
   \end{parts}
 \end{questions}