Benisty2024 Conversion (HigleyLab)

[alessandratrapani]

This is to organize the conversion. (#14 )
Some general resources.

1. analysis code
2. Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior

TO-DO:

• Add conversion notes
• Add 2p imaging interface in 2p-only config (Add 2p imaging fro Benisty2024 #15 )
• Add 2p imaging interface in dual config (Add interface for 2p imaging data, suite2p and spike2 signals in dual acquisition modality #25)
• Time alignment for 2p imaging stream (2p only conversion #22) (Add interface for 2p imaging data, suite2p and spike2 signals in dual acquisition modality #25)
• Add 1p imaging interface in dual config (Add 1p imaging in dual modality #27)
• Time alignment for 1p imaging streams
• Add TTL synch signals (.smrx and .smr) (2p only conversion #22) (Add interface for 2p imaging data, suite2p and spike2 signals in dual acquisition modality #25)
• Add motion corrected 1p imaging (Add processed imaging data #32 )
• Add parcellation output ()
• Add cidan segmentation (Add cidan extractor and interface #24)
• Add segmentation suite2p (Add suite2p interface #17 ) (Add interface for 2p imaging data, suite2p and spike2 signals in dual acquisition modality #25)
• Add raw behavior interface (.avi) (2p only conversion #22)
• Add wheel motion (.smrx) (2p only conversion #22) (Add interface for 2p imaging data, suite2p and spike2 signals in dual acquisition modality #25)
• Add processed behavior interface for FaceMap output (.mat) (2p only conversion #22, Add custom facemap interface #34 )
• Add visual stimuli interface (.csv) (2p only conversion #22)
• Add session and subject metadata (Refine metadata #29)
• Run a stub conversion for the data we have and use the inspector.
• Run stubs
• Run validation using inspector
• Run full conversion
• Run validation.
• Create demos notebook
• Upload the dandi
• Set the requirements.
• Modify the documentation in the readme.