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Fruit Fly Brain Hackathon 2018

By Center for Neural Engineering and Computation, Columbia University

Date and time

Wednesday, March 14, 2018 · 9am - 6pm EDT

Location

750 CEPSR, Columbia University

530 W 120th Street New York, NY 10027

Description

Overview

We are pleased to announce the 3rd Fruit Fly Brain Hackathon (FFBH 2018). This hackathon will be focused on open neurophysiology data (electrophysiology, imaging, etc.) of, but not limited to, the fruit fly brain.

The hackathon will be focused on the following topics:

  1. Promoting Neurodata Without Board (NWB) as a standard format for storing and sharing neurophysiology data in general, and extend it to standardize the storage and distribution of fruit fly brain electrophysiology and calcium imaging data,

  2. Queryable neurophysiology data: organizing neurophysiology data and metadata in a database to make them easily queryable, and developing comprehensive querying tools accordingly,

  3. Incorporating queried neurophysiology data into computational study.

The goals are to:

  1. create a common language for sharing open neurophysiology data,

  2. speed up pattern search in the data that can often be tedious and inefficient to do manually,

  3. drive the creation of computational models and the validation of them using open data.

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 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.

Organizers

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


Detailed schedule, will be posted here

Organized by

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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