Open alexpiet opened 2 years ago
In two places
psy_metrics_tools.annotate_image_rolling_metrics()
psy_output_tools.session_df_backwards_compatability()
Inside a licking bout, image_correct_reject is NaN, while image_false_alarm is 0. NaN makes more sense because whether we had a false alarm or a correct reject is ill-defined inside of a licking bout.
image_correct_reject
image_false_alarm
In two places
psy_metrics_tools.annotate_image_rolling_metrics()
psy_output_tools.session_df_backwards_compatability()
Inside a licking bout,
image_correct_reject
is NaN, whileimage_false_alarm
is 0. NaN makes more sense because whether we had a false alarm or a correct reject is ill-defined inside of a licking bout.