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NWB Workshops and Hackathons

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NeuroDataReHack 2024

Generate new insights from existing neurophysiology data through secondary analysis

Dates and Location


The DANDI Archive now has 199+ neurophysiology datasets in the Neurodata Without Borders format spanning many species, brain areas, task types, and imaging modalities. These include high-value datasets, e.g. from Allen Institute OpenScope, the MICrONS project, and the International Brain Laboratory Brain Wide Map, as well as diverse contributions from neuroscience labs around the world. In this workshop, we will teach attendees about the open neurophysiology datasets available on the DANDI Archive and train them on how to maximally utilize the archive and the NWB standard to incorporate existing data into their scientific workflows. Feedback from attendees will be used to improve the software and data standard to better enable reanalysis workflows.

Prior to the workshop, we are organizing Open Neurodata Showcase where attendees can meet the contributors behind the neurophysiology datasets and explore virtual posters. Visit the event page to sign up and read more about this feature event.

Example projects include but are not limited to:

This event will primarily focus on analyzing existing data in NWB and on DANDI, not converting data to NWB. If you are interested in learning how to convert data, consider signing up for an NWB User Days event.


This course is intended for PhD students, postdoctoral researchers, principal investigators, or similar. Applicants should have basic programming experience in Python or MATLAB and experience with neurophysiology research.


Space for the event is limited. Apply to attend NeuroDataReHack 2024 here.


Thanks to the generous sponsorship of The Janelia Research Campus, this event will be free to participants:

Organizing Committee

Program chairs:


Resources will be posted here to help participants prepare for the event.

What to bring?

Bring a laptop with appropriate software installed. Python should be installed and MATLAB is optional. For instructions on how to install PyNWB, see the PyNWB documentation. For instructions on how to install MatNWB, see the MatNWB documentation


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