Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

FlyBrainLab: Accelerating the Discovery of the Functional Logic of the Fruit Fly Brain in the Connectomic/Synaptomic Era

Aurel A. Lazar, Tingkai Liu, Mehmet Kerem Turkcan, Yiyin Zhou
doi: https://doi.org/10.1101/2020.06.23.168161
Aurel A. Lazar
1Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: aurel@ee.columbia.edu
Tingkai Liu
1Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mehmet Kerem Turkcan
1Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yiyin Zhou
1Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

In recent years, a wealth of Drosophila neuroscience data have become available. These include cell type, connectome and synaptome datasets for both the larva and adult fly. To facilitate integration across data modalities and to accelerate the understanding of the functional logic of the fly brain, we developed an interactive computing environment called FlyBrainLab.

FlyBrainLab is uniquely positioned towards accelerating the discovery of the functional logic of the Drosophila brain. Its interactive open source architecture seamlessly integrates and brings together computational models with neuroanatomical, neurogenetic and electrophysiological data, changing the organization of neuroscientific fly brain data from a group of unconnected databases, arrays and tables, to a well structured data and executable circuit repository. The FlyBrainLab User Interface supports a highly intuitive and automated workflow that streamlines the 3D exploration and visualization of fly brain circuits, and the interactive exploration of the functional logic of executable circuits created directly from the explored and visualized fly brain data.

FlyBrainLab methodologically supports the efficient comparison of fly brain circuit models, across model instances developed by different researchers, across different developmental stages of the fruit fly and across different datasets. The FlyBrainLab Utility and Circuit Libraries accelerate the creation of models of executable circuits. The Utility Libraries help untangle the graph structure of neural circuits from raw connectome and synaptome data. The Circuit Libraries facilitate the exploration of neural circuits of the neuropils of the central complex and, the development and implementation of models of the adult and larva fruit fly early olfactory systems.

To elevate its executable circuit construction capability beyond the connectome, FlyBrainLab provides additional libraries for molecular transduction arising in sensory coding in vision and olfaction. Together with sensory neuron activity data, these libraries serve as entry points for discovering circuit function in the sensory systems of the fruit fly brain. They also enable the biological validation of developed executable circuits within the same platform.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • 1 The authors’ names are listed in alphabetical order.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted June 24, 2020.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
FlyBrainLab: Accelerating the Discovery of the Functional Logic of the Fruit Fly Brain in the Connectomic/Synaptomic Era
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
FlyBrainLab: Accelerating the Discovery of the Functional Logic of the Fruit Fly Brain in the Connectomic/Synaptomic Era
Aurel A. Lazar, Tingkai Liu, Mehmet Kerem Turkcan, Yiyin Zhou
bioRxiv 2020.06.23.168161; doi: https://doi.org/10.1101/2020.06.23.168161
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
FlyBrainLab: Accelerating the Discovery of the Functional Logic of the Fruit Fly Brain in the Connectomic/Synaptomic Era
Aurel A. Lazar, Tingkai Liu, Mehmet Kerem Turkcan, Yiyin Zhou
bioRxiv 2020.06.23.168161; doi: https://doi.org/10.1101/2020.06.23.168161

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3477)
  • Biochemistry (7315)
  • Bioengineering (5290)
  • Bioinformatics (20180)
  • Biophysics (9967)
  • Cancer Biology (7696)
  • Cell Biology (11242)
  • Clinical Trials (138)
  • Developmental Biology (6413)
  • Ecology (9910)
  • Epidemiology (2065)
  • Evolutionary Biology (13266)
  • Genetics (9346)
  • Genomics (12542)
  • Immunology (7665)
  • Microbiology (18919)
  • Molecular Biology (7413)
  • Neuroscience (40853)
  • Paleontology (298)
  • Pathology (1224)
  • Pharmacology and Toxicology (2124)
  • Physiology (3137)
  • Plant Biology (6833)
  • Scientific Communication and Education (1268)
  • Synthetic Biology (1890)
  • Systems Biology (5295)
  • Zoology (1083)