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User Training and Use Cases
Key Investigators
- Oliver Ruebel (LBNL)
- Andrew Tritt (LBNL)
- Ben Dichter (Stanford)
- Nicholas Cain (Allen Institute for Brain Science)
Project Description
The goal of this project is 1) to conduct new user training and 2) to interact with
attendees on their use cases to identify needs for NWB:N.
Objectives
- Assist hackathon participants with their NWB:N and PyNWB hackathon projects
- Collect use cases from the participants to help inform NWB:N development
- Work with participants to identify problems and needs with regard to PyNWB
Approach and Plan
- Present tutorials
- Engage with attendees in one-on-one conversations about their projects
- Assist attendees with questions and facilitate the project hacking sessions
Progress and Next Steps
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Materials
Background and References
The Neurodata Without Borders: Neurophysiology (“NWB”) format is designed to store a
variety of neurophysiology data, including from intracellular and extracellular
electrophysiology experiments, optical physiology experiments, as well as tracking
and stimulus data.
For further information about NWB:N see: