2,940 results found
    1. Neuroscience

    Affective bias as a rational response to the statistics of rewards and punishments

    Erdem Pulcu, Michael Browning
    Humans adjust the degree to which they learn from positive relative to negative outcomes as a function of how informative they estimate those outcomes to be.
    1. Neuroscience

    Ongoing, rational calibration of reward-driven perceptual biases

    Yunshu Fan et al.
    The rational application of heuristic learning strategies and satisficing goals accounted for near-optimal decisions that combined reward and noisy visual information by well-trained monkeys.
    1. Neuroscience

    How prior preferences determine decision-making frames and biases in the human brain

    Alizée Lopez-Persem et al.
    Model-based analyses of choice behavior and fMRI activity revealed that prior preferences generate default policies, which frame the decision value signal encoded in the vmPFC, and shift vmPFC pre-choice activity so as to induce a decision bias toward default options.
    1. Neuroscience

    Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation

    Niels A Kloosterman et al.
    Decision-makers are able to intentionally control neural excitability to strategically bias sensory evidence accumulation towards the decision bound that maximizes reward within a given ecological context.
    1. Neuroscience

    The caudate nucleus contributes causally to decisions that balance reward and uncertain visual information

    Takahiro Doi et al.
    Caudate neurons encode reward and sensory information and the effects of caudate microstimulation mimic the monkeys' voluntary reward bias strategy.
    1. Neuroscience

    Choice history biases subsequent evidence accumulation

    Anne E Urai et al.
    Choice history signals bias the interpretation of current sensory input, akin to shifting endogenous attention toward (or away from) the previously selected interpretation.
  1. Point of View: Four erroneous beliefs thwarting more trustworthy research

    Mark Yarborough et al.
    Strategies to improve public trust in biomedical research are being hindered by a scientific mindset that stifles interest in reform.
    1. Computational and Systems Biology

    Meta-Research: Centralized scientific communities are less likely to generate replicable results

    Valentin Danchev et al.
    Analysis of data on drug-gene interactions suggests that decentralized collaboration will increase the robustness of scientific findings in biomedical research.
    1. Computational and Systems Biology

    Point of View: Data science for the scientific life cycle

    Daphne Ezer, Kirstie Whitaker
    Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.

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