4,640 results found
    1. Cell Biology
    2. Computational and Systems Biology

    Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block

    Jakub Tomek et al.
    A computer model of human cardiomyocyte was produced and validated on independent datasets, overcoming shortcomings of its predecessors, also yielding broadly relevant insights and results on major ionic currents.
    1. Computational and Systems Biology
    2. Neuroscience

    Training deep neural density estimators to identify mechanistic models of neural dynamics

    Pedro J Gonçalves et al.
    Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
    1. Developmental Biology

    A predictive model of asymmetric morphogenesis from 3D reconstructions of mouse heart looping dynamics

    Jean-François Le Garrec et al.
    A precise sequence of left-right asymmetries, combined with mechanical constraints, is sufficient to drive the looped morphogenesis of the embryonic heart tube, with potential impact for congenital heart defects.
    1. Computational and Systems Biology
    2. Neuroscience

    Dopamine role in learning and action inference

    Rafal Bogacz
    A mathematical model describes the function of dopaminergic neurons in both learning and action planning.
    1. Medicine
    2. Microbiology and Infectious Disease

    Early prediction of level-of-care requirements in patients with COVID-19

    Boran Hao et al.
    Using data for 2566 COVID-19 patients from five hospitals, models are developed to predict for each patient hospitalization and critical care needs, based on demographics, comorbidities, medications, and laboratory findings.
    1. Computational and Systems Biology
    2. Physics of Living Systems

    A simple regulatory architecture allows learning the statistical structure of a changing environment

    Stefan Landmann et al.
    Minimal modifications of common regulatory circuits can allow bacteria to learn from the past to better predict the future, on a physiological, rather than evolutionary, timescale.
    1. Neuroscience

    Image content is more important than Bouma’s Law for scene metamers

    Thomas SA Wallis et al.
    Peripheral appearance models emphasising pooling processes that depend on retinal eccentricity will instead need to explore input-dependent grouping and segmentation.
    1. Computational and Systems Biology
    2. Ecology

    Trade-off shapes diversity in eco-evolutionary dynamics

    Farnoush Farahpour et al.
    In a minimalistic, generic model of competitive communities in which evolution is constrained by life-history trade-offs, stable biodiversity emerges with species adapted to different functional niches.
    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. Computational and Systems Biology
    2. Medicine

    Diagnostically relevant facial gestalt information from ordinary photos

    Quentin Ferry et al.
    An automatic computer vision analysis approach can assist in the diagnosis of rare genetic disorders by using ordinary photographs of patients.

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