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Showing 1–6 of 6 results
Advanced filters: Author: Marta Zlatic Clear advanced filters

  • Combining neural manipulation in freely behaving animals, physiological studies and electron microscopy reconstruction in the Drosophila larva identifies a complex multilsensory circuit involved in the selection of larval escape modes that exhibits a multilevel multimodal convergence architecture.

    • Tomoko Ohyama
    • Casey M. Schneider-Mizell
    • Marta Zlatic
    Research
    Nature
    Volume: 520, P: 633-639

  • Eschbach, Fushiki et al. combine synaptic-resolution circuit mapping, functional analyses and modeling to reveal circuit motifs that regulate dopaminergic neuron activity and may increase associative learning task performance and flexibility.

    • Claire Eschbach
    • Akira Fushiki
    • Marta Zlatic
    Research
    Nature Neuroscience
    Volume: 23, P: 544-555

  • The mushroom body of Drosophila integrates sensory information with past experience to guide behaviour. Here, the authors provide an atlas of the input and output neurons of the stage 3 larval mushroom body at the single-cell level, and analyse their function in learned and innate behaviours.

    • Timo Saumweber
    • Astrid Rohwedder
    • Bertram Gerber
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-19

  • Open-source software that allows biologists to create a variety of behavior classifiers for automatically annotating video of behaving animals is presented. The program, called JAABA, uses state-of-the-art machine-learning methods and is applicable to tracking data from different organisms, including mice and adult and larval Drosophila.

    • Mayank Kabra
    • Alice A Robie
    • Kristin Branson
    Research
    Nature Methods
    Volume: 10, P: 64-67