Dataset for 'Auditory Activity is Diverse and Widespread Throughout the Central Brain of Drosophila'

Pacheco, Diego A; Thiberge, Stephan; Pnevmatikakis, Eftychios; Murthy, Mala
Issue date: October 2020
Cite as:
Pacheco, Diego A, Thiberge, Stephan, Pnevmatikakis, Eftychios, & Murthy, Mala. (2020). Dataset for 'Auditory Activity is Diverse and Widespread Throughout the Central Brain of Drosophila' [Data set]. https://doi.org/10.34770/gv6w-5351
@electronic{pacheco_diego_a_2020,
  author      = {Pacheco, Diego A and
                Thiberge, Stephan and
                Pnevmatikakis, Eftychios and
                Murthy, Mala},
  title       = {{Dataset for 'Auditory Activity is Divers
                e and Widespread Throughout the Central
                Brain of Drosophila'}},
  year        = 2020,
  url         = {https://doi.org/10.34770/gv6w-5351}
}
Abstract:

Sensory pathways are typically studied starting at receptor neurons and following postsynaptic neurons into the brain. However, this leads to a bias in analysis of activity towards the earliest layers of processing. Here, we present new methods for volumetric neural imaging with precise across-brain registration, to characterize auditory activity throughout the entire central brain of Drosophila and make comparisons across trials, individuals, and sexes. We discover that auditory activity is present in most central brain regions and in neurons responsive to other modalities. Auditory responses are temporally diverse, but the majority of activity is tuned to courtship song features. Auditory responses are stereotyped across trials and animals in early mechanosensory regions, becoming more variable at higher layers of the putative pathway, and this variability is largely independent of spontaneous movements. This study highlights the power of using an unbiased, brain-wide approach for mapping the functional organization of sensory activity.

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Description:

This dataset contains auditory responses from Drosophila melanogaster central brain. Download the Auditory_Responses_readme.txt file for a detailed description of this dataset's content. See the code repository (https://github.com/murthylab/FlyCaImAn) for how time series of volumes were processed to extract ROIs' responses.

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