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Page 3 of 415
    1. Neuroscience

    Neural mechanisms of social learning in the female mouse

    Yuan Gao, Carl Budlong ... Ian G Davison
    After mating, female mice form a sensory memory of the stud male's pheromones that correlates with striking changes in responsiveness of the specific neural ensemble activated by her partner.
    1. Neuroscience

    Rapid learning in visual cortical networks

    Ye Wang, Valentin Dragoi
    The rapid learning of sensory information in cortical circuits is accompanied by a tight coordination of spike timing with the local theta-band population activity in visual cortex.
    1. Computational and Systems Biology
    2. Neuroscience

    Task-dependent optimal representations for cerebellar learning

    Marjorie Xie, Samuel P Muscinelli ... Ashok Litwin-Kumar
    Classical theoretical approaches to studying the cerebellar cortex are generalized to a broader set of learning tasks, revealing that the optimal value for the sparsity of granule cell activity is task-dependent.
    1. Neuroscience

    Valence biases in reinforcement learning shift across adolescence and modulate subsequent memory

    Gail M Rosenbaum, Hannah L Grassie, Catherine A Hartley
    Relative to children and adults, adolescents placed greater weight on negative prediction errors during learning and these age-varying learning idiosyncrasies biased subsequent memory for information associated with valenced outcomes.
    1. Neuroscience

    Strategically managing learning during perceptual decision making

    Javier Masís, Travis Chapman ... Andrew M Saxe
    During perceptual decision making, maximizing total reward in the long term requires trading reward in the short term for a faster improvement in perceptual representations.
    1. Neuroscience

    Cerebellar learning using perturbations

    Guy Bouvier, Johnatan Aljadeff ... Boris Barbour
    A proposal for a complete cellular/network implementation of trial-and-error motor learning in the olivo-cerebellar system.
    1. Neuroscience

    A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings

    Proloy Das, Mingjian He, Patrick L Purdon
    Oscillation component analysis enables cognitive neuroscientists to summarize millisecond-precision high-dimensional neurophysiological recordings into a smaller set of oscillatory components through biophysically inspired generative modeling of neural oscillations.
    1. Computational and Systems Biology
    2. Neuroscience

    Dopamine role in learning and action inference

    Rafal Bogacz
    A mathematical model describes the function of dopaminergic neurons in both learning and action planning.
    1. Plant Biology

    Lack of evidence for associative learning in pea plants

    Kasey Markel
    A fully blinded replication of the most convincing report of associative learning in plants failed to reproduce the phenomenon.
    1. Neuroscience

    Sigma oscillations protect or reinstate motor memory depending on their temporal coordination with slow waves

    Judith Nicolas, Bradley R King ... Genevieve Albouy
    Sigma oscillations have a dual role in motor memory consolidation depending on their temporal coordination with slow waves during post-learning sleep.