8,616 results found
    1. Neuroscience

    Value generalization in human avoidance learning

    Agnes Norbury et al.
    Individual differences in generalization of aversive value (but not safety information) during human active avoidance learning specifically predict experience of anxiety and intrusive thoughts.
    1. Computational and Systems Biology
    2. Neuroscience

    Towards deep learning with segregated dendrites

    Jordan Guerguiev et al.
    A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.
    1. Neuroscience

    Fatigue induces long-lasting detrimental changes in motor-skill learning

    Meret Branscheidt et al.
    A series of experiments shows how muscle fatigue impairs motor-skill learning on subsequent practice days beyond its effects on task execution.
    1. Cell Biology
    2. Computational and Systems Biology

    Active machine learning-driven experimentation to determine compound effects on protein patterns

    Armaghan W Naik et al.
    In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.
    1. Neuroscience

    Complementary contributions of basolateral amygdala and orbitofrontal cortex to value learning under uncertainty

    Alexandra Stolyarova, Alicia Izquierdo
    Rat orbitofrontal cortex is required to accurately represent outcome distributions, whereas basolateral amygdala is necessary for the facilitation of learning in response to surprising events.
    1. Neuroscience

    Unimodal statistical learning produces multimodal object-like representations

    Gábor Lengyel et al.
    Mere exposure to scenes with statistical contingencies in the visual or haptic modality alone allows participants to decompose scenes into object-like multimodal representations.
    1. Neuroscience

    Social structure learning in human anterior insula

    Tatiana Lau et al.
    A domain-general structure learning mechanism, supported by anterior insula, moves beyond explicit category labels and dyadic similarity as the sole inputs to social group representations and predicts ally-choice behavior.
    1. Neuroscience

    Alterations in the amplitude and burst rate of beta oscillations impair reward-dependent motor learning in anxiety

    Sebastian Sporn et al.
    State anxiety alters the dynamics of beta oscillations during reward-dependent motor learning, thereby impairing proper updating of motor predictions when learning in unstable environments.
    1. Neuroscience

    A critical re-evaluation of fMRI signatures of motor sequence learning

    Eva Berlot et al.
    A systematic assessment of previously proposed fMRI metrics of motor sequence learning reveals widespread activity reductions and subtle multivariate pattern changes outside of primary motor cortex.
    1. Neuroscience

    Neural structure mapping in human probabilistic reward learning

    Fabrice Luyckx et al.
    During learning, human neural codes for experienced reward probability map onto the same mental number line for symbolic numbers.

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