Lohani2022 Conversion (Higley lab)

[alessandratrapani]

This is to organize the conversion.
Some general resources.

1. analysis code
2. Dual color mesoscopic imaging reveals spatiotemporally heterogeneous coordination of cholinergic and neocortical activity

TO-DO:

• Add conversion notes
• Add raw meso imaging interface (ScanImage) (Add imaging data #2)
• Time alignment for meso imaging streams (Add time alignment for imaging #12)
• Add TTL synch signals (.smrx) (Add spike 2 ttl signals #4, Should Spike2 output (TTL signal and analog recordings) be stored as Electrical Series? #6, Store Wheel signal and Visual and Airpuff stimuli as TimeSeries #8)
• Add raw behavior interface (.avi) (Add raw behavioral video #3, Issue with time alignment for behavioral video #9)
• Add wheel motion (.smrx) (Add wheel signal #5)
• Add processed behavior interface for FaceMap output (.mat) (add facemap interace and aligned timestamps #11)
• Add visual stimuli interface (.csv) (Add visual stimulus interface #20)
• Add corrected 1p imaging (Add processed imaging data #32 )
• Add parcellation output (Add parcellation output #35 )
• Add session and subject metadata
• Run stubs
• Run validation using inspector
• Run full conversion
• Run validation.
• Create demos notebook (Add tutorial #13, Add tutorial notebook for Lohani22 #38)
• Upload dandi (note: https://www.dandiarchive.org/2022/03/03/external-links-organize.html)
• Set the requirements.
• Modify the documentation in the readme (add few lines to explain util function process_event_times )