Abstract
In recent years, a wealth of Drosophila neuroscience data have become available including cell type, connectome/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 have developed FlyBrainLab, a unique open-source computing platform that integrates 3D exploration and visualization of diverse datasets with interactive exploration of the functional logic of modeled executable brain circuits. FlyBrainLab's User Interface, Utilities Libraries and Circuit Libraries bring together neuroanatomical, neurogenetic and electrophysiological datasets with computational models of different researchers for validation and comparison within the same platform. Seeking to transcend the limitations of the connectome/synaptome, FlyBrainLab also provides libraries for molecular transduction arising in sensory coding in vision/olfaction. Together with sensory neuron activity data, these libraries serve as entry points for the exploration, analysis, comparison and evaluation of circuit functions of the fruit fly brain.
Article and author information
Author details
Funding
Air Force Office of Scientific Research (FA9550-16-1-0410)
- Mehmet Kerem Turkcan
Defense Advanced Research Projects Agency (HR0011-19-9-0035)
- Aurel A Lazar
- Tingkai Liu
- Mehmet Kerem Turkcan
- Yiyin Zhou
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Upinder Singh Bhalla, Tata Institute of Fundamental Research, India
Publication history
- Received: August 22, 2020
- Accepted: February 21, 2021
- Accepted Manuscript published: February 22, 2021 (version 1)
Copyright
© 2021, Lazar et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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