Hi, I am doing a project through Neuromatch Academy using the Visual behaviour and 2P data set.
We were trying to extract familiar versus novel sessions from the original file, which is described here:visual_behavior_compare_across_trial_types. However, the sessions that are novel and familiar aren’t clear.
In the case shown here the distinction appears to be the ‘ophys_experiment_id’. Should we read session_type (e.g. OPHYS_5_images_A) where the number is the session number and the letter indicates familiarity/novel set? Where A = novel and B = familiar?
However, that doesn’t seem to work for every mouse. So would it be better to rely on the number of ‘prior_exposures_to_image_set’?
Does a prior_exposures_to_image_set == 4 imply the mouse has been exposed to the set 5 times and that is not enough to make the images familiar? I noticed some prior_exposures_to_image_set go up to 49, so I gather this is enough to make the images familiar?
Is it also correct that mice are first exposed to omissions in OPHYS_1_images_B? Is 6 sessions with exposures to omission enough to become familiar with them or is that something we’ll have to find out?