Fruit Fly Brain Hackathon 2020

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Fruit Fly Brain Hackathon 2020

By Center for Neural Engineering and Computation, Columbia University

When and where

Date and time

Wednesday, March 18, 2020 · 9am - 6pm EDT


750 CEPSR, Columbia University 530 W 120th Street New York, NY 10027


Update on COVID-19

The hackathon has been postponed to a later date that yet to be determined due to the COVID-19 emergency. Please check back for more information.


The 5th Fruit Fly brain Hackathon (FFBH 2020) will be held on Wednesday, March 18, 2020. The goal of the hackathon is to bring together researchers interested in developing executable models of the fruit fly brain. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. We welcome researchers working on the fruit fly brain as well as those working on other model organisms to participate and broaden the discussion in the hackathon.

The Fruit Fly Brain Hackathon 2020 is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation on March 16-17, 2020. Participants of the hackathon are welcome to attend the workshop.


Tingkai Liu, Department of Electrical Engineering, Columbia University
Mehmet Kerem Turkcan, Department of Electrical Engineering, Columbia University
Yiyin Zhou, Department of Electrical Engineering, Columbia University

Detailed schedule, will be posted here

About the organizer

The overall mission of Columbia University’s Center for Neural Engineering and Computation (CNEC, pronounced “scenic”) is to 1) cross-link multiple laboratories in the School of Engineering and Applied Sciences (SEAS) that are developing new types of engineering and computing tools for studying the nervous system, 2) provide an interface and representative organization for SEAS efforts in neuro-engineering/computing to the rest of Columbia University and other institutions, and 3) provide an organized structure for developing a comprehensive academic curriculum for computational neuroscience education at both the graduate and undergraduate level.

The Center’s research focus is on the development of engineering and computation-driven neurotechnologies and their role as enablers for studying neural systems, most notably the normal and diseased brain. The Center will facilitate efforts focusing on engineering and computation-driven neurotechnology development which impact the specific research endeavors of all members of the center as well as the grand challenge questions confronted by the entire neuroscience community.

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