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Showing 1–10 of 10 results
Advanced filters: Author: Arie Matsliah Clear advanced filters

  • FlyWire presents a neuronal wiring diagram of the whole fly brain with annotations for cell types, classes, nerves, hemilineages and predicted neurotransmitters, with data products and an open ecosystem to facilitate exploration and browsing.

    • Sven Dorkenwald
    • Arie Matsliah
    • Meet Zandawala
    ResearchOpen Access
    Nature
    Volume: 634, P: 124-138

  • In this study, the authors develop NTAC, Neuronal Type Assignment from Connectivity, using synaptic connectivity alone to identify cell types with high accuracy within minutes on a standard CPU.

    • Gregory Schwartzman
    • Ben Jourdan
    • Arie Matsliah
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-12

  • An analysis of the Drosophila connectome yields all cell types intrinsic to the optic lobe, and their rules of connectivity.

    • Arie Matsliah
    • Szi-chieh Yu
    • Gregory S. X. E. Jefferis
    ResearchOpen Access
    Nature
    Volume: 634, P: 166-180

  • Three electron microscopy datasets are combined to provide a complete connectomic description of the neural circuitry that makes up the neck connective in Drosophila, including the descending neurons, ascending neurons and sensory ascending neurons.

    • Tomke Stürner
    • Paul Brooks
    • Katharina Eichler
    ResearchOpen Access
    Nature
    Volume: 643, P: 158-172

  • Analysis of the whole-brain fly connectome reveals high-dimensional dynamics supported by many small independent circuits, motivating a proposal for optogenetic perturbation to efficiently learn a whole-brain causal neural dynamics model.

    • Dean A. Pospisil
    • Max J. Aragon
    • Jonathan W. Pillow
    ResearchOpen Access
    Nature
    Volume: 634, P: 201-209

  • The network of the fly brain is highly recurrent and displays rich-club organization, with a large population (30%) of preferentially connected neurons.

    • Albert Lin
    • Runzhe Yang
    • Mala Murthy
    ResearchOpen Access
    Nature
    Volume: 634, P: 153-165

  • We create a computational model of the adult Drosophila brain that accurately describes circuit responses upon activation of different gustatory and mechanosensory subtypes and generates experimentally testable hypotheses to describe complete sensorimotor transformations.

    • Philip K. Shiu
    • Gabriella R. Sterne
    • Kristin Scott
    ResearchOpen Access
    Nature
    Volume: 634, P: 210-219

  • SLEAP is a versatile deep learning-based multi-animal pose-tracking tool designed to work on videos of diverse animals, including during social behavior.

    • Talmo D. Pereira
    • Nathaniel Tabris
    • Mala Murthy
    ResearchOpen Access
    Nature Methods
    Volume: 19, P: 486-495