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    1. Neuroscience

    A neural circuit mechanism for regulating vocal variability during song learning in zebra finches

    Jonathan Garst-Orozco et al.
    By demonstrating song learning-related synaptic strengthening and pruning in the vocal control circuits of songbirds, and showing how such changes can reduce the sensitivity of the circuit to ‘noisy’ inputs, a simple neural circuit mechanism for regulating motor variability during motor skill learning is identified.
    1. Neuroscience

    Gating of neural error signals during motor learning

    Rhea R Kimpo et al.
    Electrode recordings and optogenetics reveal that the cerebellum can modulate its response to error signals from the brainstem during motor learning.
    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

    A saturation hypothesis to explain both enhanced and impaired learning with enhanced plasticity

    TD Barbara Nguyen-Vu et al.
    Learning capacity depends on a dynamic interplay between the brain’s ability to change the strength of its synapses and the history of activity at those synapses.
    1. Neuroscience

    A subcortical circuit linking the cerebellum to the basal ganglia engaged in vocal learning

    Ludivine Pidoux et al.
    The cerebellum sends a functional input to the song-related basal ganglia via the thalamus in songbirds that can modify premotor activity, and it participates to song learning in juvenile birds.
    1. Computational and Systems Biology
    2. Structural Biology and Molecular Biophysics

    Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning

    Yasuhiro Matsunaga, Yuji Sugita
    A general machine learning scheme for integrating time-series data from single-molecule experiments and molecular dynamics simulations is proposed and successfully demonstrated for the folding dynamics of the WW domain.
    1. Neuroscience

    Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network

    Aditya Gilra, Wulfram Gerstner
    Recurrent neuronal networks learn to predict movement in a self-supervised way using biologically plausible learning rules.
    1. Neuroscience

    GABA, not BOLD, reveals dissociable learning-dependent plasticity mechanisms in the human brain

    Polytimi Frangou et al.
    Combining GABA with fMRI measurements in the human brain uncovers distinct suppression mechanisms that optimize perceptual decisions through learning and experience-dependent plasticity in the visual cortex.
    1. Neuroscience

    Opposite regulation of inhibition by adult-born granule cells during implicit versus explicit olfactory learning

    Nathalie Mandairon et al.
    While both implicit and explicit learning augment neurogenesis, adult-born cells differ in their morphology, functional coupling and inhibitory action impacting differentially the olfactory bulb output.
    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.