Accelerating with FlyBrainLab the discovery of the functional logic of the Drosophila brain in the connectomic and synaptomic era.

Autor:	Lazar AA; Department of Electrical Engineering, Columbia University, New York, United States., Liu T; Department of Electrical Engineering, Columbia University, New York, United States., Turkcan MK; Department of Electrical Engineering, Columbia University, New York, United States., Zhou Y; Department of Electrical Engineering, Columbia University, New York, United States.
Jazyk:	angličtina
Zdroj:	ELife [Elife] 2021 Feb 22; Vol. 10. Date of Electronic Publication: 2021 Feb 22.
DOI:	10.7554/eLife.62362
Abstrakt:	In recent years, a wealth of Drosophila neuroscience data have become available including cell type and 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 fruit 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. Competing Interests: AL, TL, MT, YZ No competing interests declared (© 2021, Lazar et al.)
Databáze:	MEDLINE
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