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    1. Cell Biology
    2. Computational and Systems Biology

    Integrating images from multiple microscopy screens reveals diverse patterns of change in the subcellular localization of proteins

    Alex X Lu et al.
    100,000s of images from different growth conditions and genetic backgrounds can be integrated into proteome-scale analysis.
    1. Neuroscience

    Task-dependent recurrent dynamics in visual cortex

    Satohiro Tajima et al.
    A decoding-based, state-space reconstruction reveals that neurons in macaque IT cortex change the structure of their collective attractor dynamics depending on task contexts.
    1. Computational and Systems Biology
    2. Epidemiology and Global Health

    Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining

    Isa Kristina Kirk et al.
    Text mining of complete EHRs for 14,017 diabetes patients and subsequent clustering led to phenotypically deep clusters, showing distinct glycemic profiles, comorbidities, and SNP association patterns.
    1. Neuroscience

    Reward-based training of recurrent neural networks for cognitive and value-based tasks

    H Francis Song et al.
    A two-part neural network models reward-based training and provides a unified framework in which to study diverse computations that can be compared to electrophysiological recordings from behaving animals.
    1. Neuroscience

    Local online learning in recurrent networks with random feedback

    James M Murray
    A biologically plausible learning rule enables recurrent neural networks to model the way in which neural circuits use supervised learning to perform time-dependent computations.
    1. Computational and Systems Biology
    2. Structural Biology and Molecular Biophysics

    Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning

    Yasuhiro Matsunaga, Yuji Sugita
    A general machine learning scheme for integrating time-series data from single-molecule experiments and molecular dynamics simulations is proposed and successfully demonstrated for the folding dynamics of the WW domain.
    1. Neuroscience

    Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network

    Aditya Gilra, Wulfram Gerstner
    Recurrent neuronal networks learn to predict movement in a self-supervised way using biologically plausible learning rules.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Salmonella Typhi and Salmonella Paratyphi A elaborate distinct systemic metabolite signatures during enteric fever

    Elin Näsström et al.
    Metabolite analysis of plasma from enteric fever patients define signals of organism specific host–pathogen interactions and provides opportunities for new diagnostics.
    1. Neuroscience

    Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum

    William Heffley, Court Hull
    Cerebellar climbing fibers can generate learned reward-predictive instructional signals, suggesting a role for cerebellar learning in the reinforcement of reward-driven behaviors.
    1. Cell Biology
    2. Developmental Biology

    CytoCensus, mapping cell identity and division in tissues and organs using machine learning

    Martin Hailstone et al.
    Easy-to-use image analysis software enables single cell quantitation of cell types and division rates in complex 3D tissues including living Drosophila brains, mouse embryos and Zebrafish organoids.