Fruit Fly Brain Hackathon 2017
March 12, 2017
Columbia University, New York, NY 10027
We are pleased to announce the 2nd Fruit Fly Brain Hackathon (FFBO 2017). This hackathon will feature the Fruit Fly Brain Observatory (FFBO) and its key components NeuroNLP and NeuroGFX. The former allows for exploring fruit fly brain data using plain English queries, and the latter facilitates the modeling and execution of such brain circuits. Brief tutorials will be given on the usage of the FFBO as well as developing new tools/features in FFBO. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. The goal of the hackathon is to bring together these three groups of participants to develop, use and improve the FFBO platform towards developing executable models of the fruit fly brain.
The Fruit Fly Brain Hackathon 2017 is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation on March 13-14, 2017. Participants of the hackathon are welcome to attend the workshop.
Paul Richmond, Department of Computer Science, University of Sheffield
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
Sunday, March 12th, 2017
09:00 AM - 10:30 AM: Introduction and Tutorials.
10:40 AM - 12:00 PM: Discussions and Summary of Project Ideas.
12:00 PM - 6:00 PM: Hacking.
Detailed schedule to be announced, please come back to this page for more details.
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 and Microsoft Azure cloud services.