Cracking the Olfactory Code

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  • U19 – brief description overall project goals, competing circuit theories being developed/studied/integrated:
    • We are collecting multimodal (physiology, imaging, genomics, behavior) and multiregional (epithelium, olfactory bulb, cortex) to data about the mouse and human olfactory systems to understand how the olfactory world is encoded and transformed in the brain.  We are especially interested in testing the "primacy theory" of olfaction, a sparse-coding theory with preliminary theoretical and experimental evidence suggesting that only the earliest, strongest signals inform olfactory perception and behavior, and that the olfactory system has evolved accordingly. 
  • Description of how Data Science Core is complying to the criteria of the FAIR principles:
    • ​​​​​​​We are creating reproducible pipelines for all data collection and analysis, using free open-source software and adopting community standards wherever possible.  We are committed to sharing data and code collected and developed in public repositories.  
  • List of Data Types in U19:
    • ​​​​​​​Extracellular electrophyiology, Calcium imaging, Behavior (human and mouse), RNA-Seq.  
  • Common Data Elements in U19:
  • Data Sharing goals in U19:
  • Data science tools being used in project:
    • ​​​​​​​Python, Git, GitHub, Jupyter, JupyterHub, NWB, DataJoint, SciUnit, Papermill
  • Data science tools being developed for project:
    • ​​​​​​​Pyrfume, DataJointTools, SciUnit-dependent libraries
  • Data science approaches to be shared with other U19’s:
    • ​​​​​​​​​​​​​​SciUnit, DataJointTools
  • Data science challenges that could benefit from discussion with other U19’s:
    • ​​​​​​​Common DataJoint schemas for common tasks; NWB use cases

https://docs.google.com/presentation/d/1PCd9Laeh3DXrS4Sv2Y1NnD1ihXzNyY0…

https://docs.google.com/presentation/d/1KF_p4bhQNqOZ2bb0F8rfsXShG5_tKKN…

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