1,966 results found
    1. Neuroscience

    Using the past to estimate sensory uncertainty

    Ulrik Beierholm et al.
    For perceptual inference, human observers do not estimate sensory uncertainty instantaneously from the current sensory signals alone, but by combining past and current sensory inputs consistent with a Bayesian learner.
    1. Neuroscience

    The role of premature evidence accumulation in making difficult perceptual decisions under temporal uncertainty

    Ciara A Devine et al.
    Temporal uncertainty interferes with the timely onset of evidence accumulation in perceptual decision making prompting the brain to rely instead on statistical regularities in the temporal structure of the environment.
    1. Neuroscience

    Motor planning under uncertainty

    Laith Alhussein, Maurice A Smith
    New evidence shows that when there is uncertainty about an action's goal the motor system creates a single action plan that optimizes task performance rather than averaging multiple potential plans.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys

    Daniel B Larremore et al.
    Integrating over multiple forms of statistical uncertainty associated with serological surveys can improve serosurvey design while also enabling that uncertainty to be appropriately propagated through epidemiological models.
    1. Computational and Systems Biology

    A statistical framework for assessing pharmacological responses and biomarkers using uncertainty estimates

    Dennis Wang et al.
    Quantification of uncertainty in drug dose-responses provides a more robust metric for differentiating drugs and identifying biomarkers of response.
    1. Computational and Systems Biology
    2. Neuroscience

    Tuning movement for sensing in an uncertain world

    Chen Chen et al.
    Animals work in a world full of surprises, where using energy to position sensors proportional to the location's expected information avoids the pitfalls of positioning them at the information maxima.
    1. Computational and Systems Biology
    2. Neuroscience

    A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning

    Nicholas T Franklin, Michael J Frank
    Computational modeling suggests that feedback between striatal cholinergic neurons and spiny neurons dynamically adjusts learning rates to optimize behavior in a variable world.
    1. Neuroscience

    Uncertainty leads to persistent effects on reach representations in dorsal premotor cortex

    Brian M Dekleva et al.
    When Rhesus monkeys plan reaching movements of which they are not fully confident, a particular area of the brain represents both the chosen action as well as alternate movements, perhaps as an aid for error correction or learning.
    1. Neuroscience

    Reinforcement biases subsequent perceptual decisions when confidence is low, a widespread behavioral phenomenon

    Armin Lak et al.
    Confidence-dependent reinforcement learning is active and produces trial-to-trial choice updating even in well-learned perceptual decisions without explicit reward biases, across species and sensory modalities.
    1. Neuroscience

    Interneuron-specific gamma synchronization indexes cue uncertainty and prediction errors in lateral prefrontal and anterior cingulate cortex

    Kianoush Banaie Boroujeni et al.
    A fast spiking interneuron sub-type in medial and lateral prefrontal cortex fires and gamma-synchronizes prominently during adaptive learning of reward values when outcomes are uncertain and choice options have similar values.

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