444 results found
    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

    Local online learning in recurrent networks with random feedback

    James M Murray
    A biologically plausible learning rule enables recurrent neural networks to model the way in which neural circuits use supervised learning to perform time-dependent computations.
    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. 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

    DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

    Semih Günel et al.
    DeepFly3D, a deep learning-based software, measures limb and appendage movements in tethered, behaving Drosophila and enables precise behavioral measurements during neural recordings, stimulation, and other biological experiments.
    1. Cell Biology
    2. Computational and Systems Biology

    Integrating images from multiple microscopy screens reveals diverse patterns of change in the subcellular localization of proteins

    Alex X Lu et al.
    100,000s of images from different growth conditions and genetic backgrounds can be integrated into proteome-scale analysis.
    1. Computational and Systems Biology

    Trajectories of childhood immune development and respiratory health relevant to asthma and allergy

    Howard HF Tang et al.
    Unsupervised cluster analysis identified similar groups of children in different cohorts, with distinct developmental patterns of immunorespiratory health, asthma and allergy.
    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. Developmental Biology
    2. Human Biology and Medicine

    Functional genome-wide siRNA screen identifies KIAA0586 as mutated in Joubert syndrome

    Susanne Roosing et al.
    A supervised learning approach on a high-content genome-wide siRNA screen has identified 591 likely candidates for ciliopathies and facilitated in the discovery of KIAA0586 mutations in individuals with Joubert syndrome.
    1. Plant Biology

    Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth

    Martial Sankar et al.
    Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.

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