7,957 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

    Synchronized excitability in a network enables generation of internal neuronal sequences

    Yingxue Wang et al.
    Hippocampal sharp-wave sequences, which are considered the key phenomenon underlying consolidation of episodic memory, are preserved even after an animal’s memory is impaired.
    1. Biochemistry and Chemical Biology
    2. Structural Biology and Molecular Biophysics

    Two distinct DNA sequences recognized by transcription factors represent enthalpy and entropy optima

    Ekaterina Morgunova et al.
    The epistasis observed in TF-DNA binding preferences can be explained by the presence of two optima of very similar Gibbs energy that are located relatively far from each other in sequence space.
    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. Structural Biology and Molecular Biophysics

    Sequence co-evolution gives 3D contacts and structures of protein complexes

    Thomas A Hopf et al.
    Interactions in protein complexes can be predicted from evolutionary information from genomic sequences.
    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

    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

    Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience

    Emily L Mackevicius et al.
    Building on simple unsupervised matrix factorization techniques, the seqNMF algorithm successfully recovers neural sequences in a wide range of simulated and real datasets.
    1. Neuroscience
    2. Physics of Living Systems

    Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network

    Louis Kang, Michael R DeWeese
    An experimentally supported model of grid cells naturally enables them to participate in firing sequences that encode rapid trajectories in space.

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