7,087 results found
    1. Neuroscience

    Synaptic learning rules for sequence learning

    Eric Torsten Reifenstein et al.
    Through mathematical analysis and computer simulations, the neuronal underpinnings of feasible models of sequence learning are delineated.
    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. 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

    Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

    Ian Cone, Harel Z Shouval
    A computational model shows that it's possible to learn and replay extended temporal sequences in a network of spiking neurons with a modular architecture and a biologically realistic learning rule.
    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

    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

    Cerebellar implementation of movement sequences through feedback

    Andrei Khilkevich et al.
    The cerebellum can learn a sequence of responses by using a feedback signal from the previous movement to learn the next one.
    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.

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