Intro & figure layout

[jkim0731]

1st draft of intro & figure layout:
https://alleninstitute.sharepoint.com/:w:/s/LearningmFISH/EZ7hqkqpQRtCpTAq4tiTcUgBqc_zvTUjAkvwspy5xKdWcQ?e=kmKNmf

Analysis goals:

1. Familiarization index (Figure 2)
   • Image responses to familiar images across training + novel image response
   • The same with omission responses
2. Functional clustering (Figure 3)
   • Clustering using coding score (with improved encoding model)
   • Clustering using traces
3. Functional interaction (Figure 4)
   • Target specific known potential disinhibitory circuit (L2/3 VIP-SST, L4 SST-PV)
   • Noise correlation (with better encoding model to subtract)

Stand-up meetings (Jinho & Matt):

• Quick updates and issue sharing
• Mon/Thu 10.30 am
• Optional: Arielle & Marina

Data:

1. First test with GCaMP pilot data
2. Then use most recent GAD2 or VGAT-Cre data
3. Once having co-registered data, focus on them.
   • Power analysis (for number of cells and mice)