554 results found
    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

    Temporal chunking as a mechanism for unsupervised learning of task-sets

    Flora Bouchacourt et al.
    Model-based analyses of human behaviour and neural activity show that representations of concurrent task-sets emerge by merging together representations of individual stimulus-response associations that occur in temporal proximity.
    1. Neuroscience

    Prediction signals in the cerebellum: beyond supervised motor learning

    Court Hull
    Emerging evidence suggests a broad role for cerebellar circuits in generating and testing predictions about movement, reward, and diverse cognitive processes.
    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

    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. 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. 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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