methods 1

dataoverview.py

@@ -264,6 +264,8 @@ def si_stats(title, data, sicol, si_thresh, nsegscol):
     print(f'    duration:           {np.min(duration):.1f}s - {np.max(duration):.1f}s, median={np.median(duration):.1f}s, mean={np.mean(duration):.1f}s, std={np.std(duration):.1f}s')
     duration *= trials
     print(f'    total duration:     {np.min(duration):.1f}s - {np.max(duration):.1f}s, median={np.median(duration):.1f}s, mean={np.mean(duration):.1f}s, std={np.std(duration):.1f}s')
+    duration = data['durationbase']
+    print(f'    baseline duration:  {np.min(duration):.1f}s - {np.max(duration):.1f}s, median={np.median(duration):.1f}s, mean={np.mean(duration):.1f}s, std={np.std(duration):.1f}s')
     cols = ['cvbase', 'respmod2', 'ratebase', 'vsbase', 'serialcorr1', 'burstfrac', 'ratestim', 'cvstim']
     for i in range(len(cols)):
         for j in range(i + 1, len(cols)):