diff --git a/DAS/simulator.py b/DAS/simulator.py
index 3e6e496..07cd5d4 100644
--- a/DAS/simulator.py
+++ b/DAS/simulator.py
@@ -75,6 +75,11 @@ class Simulator:
                 val1.columnNeighbors[id].update({val2.ID : Neighbor(val2, self.shape.blockSize)})
                 val2.columnNeighbors[id].update({val1.ID : Neighbor(val1, self.shape.blockSize)})
 
+        if self.logger.isEnabledFor(logging.DEBUG):
+            for i in range(0, self.shape.numberValidators):
+                self.logger.debug("Val %d : rowN %s", i, self.validators[i].rowNeighbors, extra=self.format)
+                self.logger.debug("Val %d : colN %s", i, self.validators[i].columnNeighbors, extra=self.format)
+
     def initLogger(self):
         """It initializes the logger."""
         logger = logging.getLogger("DAS")
diff --git a/DAS/validator.py b/DAS/validator.py
index 6344925..3270c38 100644
--- a/DAS/validator.py
+++ b/DAS/validator.py
@@ -50,7 +50,7 @@ class Validator:
                 self.columnIDs = range(shape.blockSize)
             else:
                 self.rowIDs = rows[(self.ID*self.shape.chi):(self.ID*self.shape.chi + self.shape.chi)]
-                self.columnIDs = rows[(self.ID*self.shape.chi):(self.ID*self.shape.chi + self.shape.chi)]
+                self.columnIDs = columns[(self.ID*self.shape.chi):(self.ID*self.shape.chi + self.shape.chi)]
                 #if shape.deterministic:
                 #    random.seed(self.ID)
                 #self.rowIDs = random.sample(range(self.shape.blockSize), self.shape.chi)