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    1. Computational and Systems Biology
    2. Neuroscience

    From behavior to circuit modeling of light-seeking navigation in zebrafish larvae

    Sophia Karpenko et al.
    Light-seeking strategies in Zebrafish larvae are dissected using a virtual-reality assay, and these data are used to establish minimal stochastic and neural-circuits models that quantitatively capture this behavior.
    1. Developmental Biology
    2. Plant Biology

    Generation of shape complexity through tissue conflict resolution

    Alexandra B Rebocho et al.
    Genetic modulation in patterns of tissue conflict play a major role in the development and evolution of shape diversity.
    1. Neuroscience

    The relationship between spatial configuration and functional connectivity of brain regions

    Janine Diane Bijsterbosch et al.
    Connectivity network matrices, as estimated with masking or dual regression against group-level parcellations, reflect little or no unique cross-subject information that is not also captured by spatial topographical variability.
    1. Physics of Living Systems
    2. Developmental Biology

    Unified quantitative characterization of epithelial tissue development

    Boris Guirao et al.
    A new approach measures the respective participations of elementary cell behaviors – such as cell division, intercalation, shape change and death – in the shaping of animal tissues.
    1. Cell Biology
    2. Plant Biology

    Subcellular and supracellular mechanical stress prescribes cytoskeleton behavior in Arabidopsis cotyledon pavement cells

    Arun Sampathkumar et al.
    In the Arabidopsis epidermis, the internal mechanical stress of a cell competes with the external stress to control microtubule behavior, providing a framework to understand the mechanical feedbacks that underlie plant morphogenesis.
    1. Neuroscience

    Decoding a neural circuit controlling global animal state in C. elegans

    Patrick Laurent et al.
    Sensory neurons that monitor ambient oxygen control a cascade of responses across multiple layers of interneurons to switch the global state of the nematode C. elegans, reprogramming behavior and gene expression to enable escape from or adaptation to surface exposure.
    1. Neuroscience

    anTraX, a software package for high-throughput video tracking of color-tagged insects

    Asaf Gal et al.
    anTraX is an algorithm and software package that facilitates automated analyses of insect social behavior in species and experimental settings that are not accessible with currently existing technology.
    1. Neuroscience

    DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

    Jacob M Graving et al.
    A new deep-learning software toolkit with general-purpose methods for quickly and reliably measuring the full body posture of animals directly from images or videos without physical markers.
    1. Neuroscience

    Comprehensive machine learning analysis of Hydra behavior reveals a stable basal behavioral repertoire

    Shuting Han et al.
    A novel automated behavior analysis method for Hydra identifies pre-defined and new behavior types, and reveals a stable behavior repertoire.
    1. Computational and Systems Biology
    2. Neuroscience

    Resolving coiled shapes reveals new reorientation behaviors in C. elegans

    Onno D Broekmans et al.
    A conceptually simple algorithm can analyze previously uncharacterized 2D coiled postures of the nematode C. elegans and has uncovered new reorientation behaviors in large amplitude turns.