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    1. Neuroscience

    SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

    Jeremy Magland et al.
    Ten popular spike sorting codes are reproducibly benchmarked for accuracy on electrophysiology datasets from eleven laboratories with interactive web-based exploration of thousands of ground-truth units.
    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. Computational and Systems Biology
    2. Neuroscience

    Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain

    Xuechun Wang et al.
    A dual-channel image registration pipeline combined with deep-learning inference achieves accurate-and-flexible registration/segmentation/mapping of mouse brain.
    1. Neuroscience

    Principles of operation of a cerebellar learning circuit

    David J Herzfeld et al.
    Quantitative analysis of behavior coupled with computational modeling reveal the set of circuit-level principles that underlie cerebellar-dependent motor learning in smooth pursuit eye movements of monkeys across timescales.
    1. Neuroscience

    Rapid whole brain imaging of neural activity in freely behaving larval zebrafish (Danio rerio)

    Lin Cong et al.
    The integration of a novel high spatiotemporal resolution volume imaging technique and a fast 3D tracking system allows capturing whole brain neural activities in a freely behaving larval zebrafish.
    1. Neuroscience

    Skill learning strengthens cortical representations of motor sequences

    Tobias Wiestler, Jörn Diedrichsen
    Detailed analysis of fMRI data shows that sequences of movements are associated with individual patterns of neural activity that become more distinct with training.
    1. Neuroscience

    Distinct recruitment of dorsomedial and dorsolateral striatum erodes with extended training

    Youna Vandaele et al.
    Dorsomedial and dorsolateral striatal neural activity differ during early learning of action sequences but do not change with performance improvement across sessions, and become similar after extended training.
    1. Computational and Systems Biology
    2. Neuroscience

    Action detection using a neural network elucidates the genetics of mouse grooming behavior

    Brian Q Geuther et al.
    A machine learning method for action detection is developed and applied toward mouse grooming behavior.
    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

    Nonlinear circuits for naturalistic visual motion estimation

    James E Fitzgerald, Damon A Clark
    New computational models provide insights into how the insect brain estimates the speed and direction of movement.