Index: scientific_library/tvb/simulator/monitors.py
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- scientific_library/tvb/simulator/monitors.py	(revision Local version)
+++ scientific_library/tvb/simulator/monitors.py	(revision Shelved version)
@@ -298,18 +298,23 @@
         svars = [sv['value'] for sv in simulator.model.trait['variables_of_interest'].interface['options']]
 
         # handle transforms, "expressions of interest"
-        if self.pre_expr or self.post_expr:
-            pre, post = self.pre_expr, self.post_expr
-        else:
-            # TODO convert voi to pre expr
-            if self.variables_of_interest.size == 0:
-                self.voi = numpy.array([simulator.model.state_variables.index(var)
-                                        for var in simulator.model.variables_of_interest])
-            else:
-                self.voi = self.variables_of_interest
+        # TODO convert voi to pre expr
+        if self.variables_of_interest.size == 0:
+            self.voi = numpy.array([simulator.model.state_variables.index(var)
+                                    for var in simulator.model.variables_of_interest])
+        else:
+            self.voi = self.variables_of_interest
+
+        if self.pre_expr:
+            pre = self.pre_expr
+        else:
             pre = ';'.join([svar for i, svar in enumerate(svars) if i in self.voi])
-            post = ''
 
+        if self.post_expr:
+            post = self.post_expr
+        else:
+            post = ';'.join(['mon' for _ in self.voi])
+
         self._transforms = mt = MonitorTransforms(pre, post, svars)
         self.voi = numpy.r_[:len(mt.pre)]
         LOG.info('%r - pre %r, post %r, svars %r', self, mt.pre, mt.post, svars)
@@ -1194,6 +1199,7 @@
         Set up stock arrays
        
         """
+        self.post_expr = 'mon'
         super(Bold, self).config_for_sim(simulator)
 
         self.compute_hrf() # now we have self.hemodynamic_response_function