diff --git a/doc/examples/multi_taper_coh.py b/doc/examples/multi_taper_coh.py
index 1e938174..c91085ef 100644
--- a/doc/examples/multi_taper_coh.py
+++ b/doc/examples/multi_taper_coh.py
@@ -152,7 +152,7 @@
 """
 
 for i in range(nseq):
-    for j in range(i):
+    for j in range(i, nseq):
 
         """
 
diff --git a/nitime/viz.py b/nitime/viz.py
index 2d030036..db0ce62c 100644
--- a/nitime/viz.py
+++ b/nitime/viz.py
@@ -30,7 +30,7 @@
     import matplotlib.axis as ax
     ax.munits = mpl_units
 
-from nitime.utils import triu_indices
+from nitime.utils import tril_indices
 
 #Some visualization functions require networkx. Import that if possible:
 try:
@@ -272,10 +272,12 @@ def channel_formatter(x, pos=None):
     # data provided
     m = in_m.copy()
 
-    # Null the upper triangle, so that you don't get the redundant and the
+    # Null the **lower** triangle, so that you don't get the redundant and the
     # diagonal values:
-    idx_null = triu_indices(m.shape[0])
+    idx_null = tril_indices(m.shape[0])
     m[idx_null] = np.nan
+    # tranpose the upper triangle to lower
+    m = m.T
 
     # Extract the minimum and maximum values for scaling of the
     # colormap/colorbar: