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Fruit Fly Brain Hackathon 2018

March 14, 2018
Center for Neural Engineering and Computation
Columbia University, New York, NY, USA


We are pleased to announce the 3rd Fruit Fly Brain Hackathon (FFBO 2018). This hackathon calls for open neurophysiology data (electrophysiology, imaging, etc.) among the fruit fly brain research community. It will focus on building a platform for such data in the Fruit Fly Brain Observatory (FFBO). In particular, participants will initiate a discussion and code development for uploading, downloading, storing and querying neurophysiology data in NeuroNLP, and incorporating queried data into computational study of the fly brain in NeuroGFX. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. The goal of the hackathon is to draft a standard for sharing, storing, querying fruit fly neurophysiology data, and to initiate platform development under such standard.

The Fruit Fly Brain Hackathon 2018 is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation on March 15-16, 2018. Participants of the hackathon are welcome to attend the workshop.


Adam Tomkins, Department of Automatic Control and Systems Engineering, University of Sheffield
Nikul Ukani, Department of Electrical Engineering, Columbia University
Chung-Heng Yeh, Department of Electrical Engineering, Columbia University
Yiyin Zhou, Department of Electrical Engineering, Columbia University


Registration is free but all participants have to register. To help us better organize the event, please provide in the appropriate registration block a brief description of your background and what you would like to learn/achieve during the hackathon. Thank you!

Lodging and Directions to Venue

Please follow this link for lodging details and directions to the hotel and venue.



Computing Resources

Participants only need to bring a laptop to the hackathon to fully explore the capacity of the FFBO. For attendees interested in installing FFBO on their own machines, or developing new features, all service packages will be available in the form of Docker images. We will also provide a number of accounts to access servers hosted on Amazon EC2 or Google cloud services.