updated results to new figures

modelsusceptcontrasts.py

@@ -127,8 +127,10 @@ def plot_summary_contrasts(axs, s, cells):
         print(f'    mean SI = {np.mean(nli):.2f}, stdev = {np.std(nli):.2f}')
         n = np.sum(nli > nli_thresh)
         print(f'    {n} cells ({100*n/len(nli):.1f}%) have SI > {nli_thresh:.1f}:')
-        for name, cv in cdata[nli > nli_thresh, ['cell', 'cvbase']].row_data():
-            print(f'        {name:<22} CV={cv:4.2f}')
+        for name, cv, respmod in cdata[nli > nli_thresh,
+                                       ['cell', 'cvbase', 'respmod2']].row_data():
+            print(f'        {name:<22} CV={cv:4.2f} '
+                  f'response modulation={respmod:4.0f}Hz')
         print(f'    triangle cells have SI >= {np.min(nli[cdata["triangle"] > 0.5]):.2f}')
         print()
     print('overall lowest baseline CV:',