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    1. Neuroscience

    Leave-One-Trial-Out, LOTO, a general approach to link single-trial parameters of cognitive models to neural data

    Sebastian Gluth, Nachshon Meiran
    Leave-One-Trial-Out (LOTO) is a general, efficient and easily implementable approach for inferring trial-by-trial measures of computational model parameters in order to link these measures to neural mechanisms.
    1. Epidemiology and Global Health
    2. Medicine

    Conjunction of factors triggering waves of seasonal influenza

    Ishanu Chattopadhyay et al.
    Three complementary computational approaches reveal a set of putative causes of initiation of pan-USA waves of influenza.
    1. Evolutionary Biology
    2. Microbiology and Infectious Disease

    Integrating influenza antigenic dynamics with molecular evolution

    Trevor Bedford et al.
    Combined antigenic and genetic analysis shows that different strains of the human influenza virus display dramatically different rates of antigenic drift, and that these differences have a significant impact on the number of new infections in each flu season.
    1. Neuroscience

    Frontal eye field and caudate neurons make different contributions to reward-biased perceptual decisions

    Yunshu Fan et al.
    In monkeys making decisions that balance noisy evidence and reward expectation, frontal cortical and caudate activity reflect different computational components that are related to the monkeys' strategy.
    1. Developmental Biology
    2. Physics of Living Systems

    Nuclear crowding and nonlinear diffusion during interkinetic nuclear migration in the zebrafish retina

    Afnan Azizi et al.
    The evolving spatial distribution of nuclei between apical and basal surfaces of the developing retinal neuroepithelium is quantitatively described by a nonlinear diffusion equation accounting for crowding within the tissue.
    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

    Behavioural and neural signatures of perceptual decision-making are modulated by pupil-linked arousal

    Jochem van Kempen et al.
    A direct relationship between pupil diameter and electrophysiological correlates of attention, sensory stimulus processing and target detection was observed demonstrating that arousal has a substantial influence on perceptual decision-making.
    1. Neuroscience

    A theory of joint attractor dynamics in the hippocampus and the entorhinal cortex accounts for artificial remapping and grid cell field-to-field variability

    Haggai Agmon, Yoram Burak
    A theory of coordinated neural network dynamics in multiple brain areas offers an explanation for several recent experimental findings in the hippocampus and medial entorhinal cortex.
    1. Neuroscience

    Causal evidence for lateral prefrontal cortex dynamics supporting cognitive control

    Derek Evan Nee, Mark D'Esposito
    Non-invasive brain stimulation tests and refines a model of lateral prefrontal cortex neural dynamics supporting cognitive control.
    1. Neuroscience

    Normative evidence accumulation in unpredictable environments

    Christopher M Glaze et al.
    Theoretically optimal dynamics for making decisions in unpredictable environments provide a broadly applicable framework for understanding choice behavior and underlying neural signals.