4,492 results found
    1. Computational and Systems Biology
    2. Physics of Living Systems

    Learning protein constitutive motifs from sequence data

    Jérôme Tubiana et al.
    A new machine-learning toolbox unveils coevolutionary protein motifs related to structure, function, and phylogeny from sequence information only.
    1. Neuroscience

    Brain signatures of a multiscale process of sequence learning in humans

    Maxime Maheu et al.
    Evidence for multiple brain systems for sequence processing involving statistical inferences at multiple scales.
    1. Neuroscience

    Skill learning strengthens cortical representations of motor sequences

    Tobias Wiestler, Jörn Diedrichsen
    Detailed analysis of fMRI data shows that sequences of movements are associated with individual patterns of neural activity that become more distinct with training.
    1. Neuroscience

    CA1 cell activity sequences emerge after reorganization of network correlation structure during associative learning

    Mehrab N Modi et al.
    As mice learn to associate events separated in time, neurons within the CA1 region of the hippocampus progressively reorganize their firing patterns, leading to a relay of cellular activity that bridges the two events.
    1. Neuroscience

    Recurrent network model for learning goal-directed sequences through reverse replay

    Tatsuya Haga, Tomoki Fukai
    The combination of short-term and long-term plasticity enables hippocampus to learn goal-directed paths through replay in a reversed order.
    1. Neuroscience

    Learning and recognition of tactile temporal sequences by mice and humans

    Michael R Bale et al.
    Mice and humans learned to distinguish an arbitrary tactile sequence from other stimuli that differed only in their temporal patterning over hundreds of milliseconds, showing that sequence learning generalises across sensory modalities.
    1. Neuroscience

    Learning multiple variable-speed sequences in striatum via cortical tutoring

    James M Murray, G Sean Escola
    Inspired by the sparse, sequential neural activity patterns observed in striatum, a new circuit model implements variable-speed activity, the encoding of multiple sequences, and a tutor/student relationship between cortex and striatum.
    1. Neuroscience

    Learning: Hippocampal neurons wait their turn

    Yuan Gao, Ian Davison
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    1. Neuroscience

    Learning: How the cerebellum learns to build a sequence

    Reza Shadmehr
    Rabbits can learn the biological analogue of a simple recursive function by relying only on the neurons of the cerebellum.
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    1. Neuroscience

    A corticostriatal deficit promotes temporal distortion of automatic action in ageing

    Miriam Matamales et al.
    Acquisition of behavioral sequences in normally aged mice involves short and unusually fast patterns of action, some of which are reproduced by striatal circuitry manipulations in young mice and can be transitorily restored through action-related feedback.

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