611 results found
    1. Cell Biology
    2. Computational and Systems Biology

    Deciphering anomalous heterogeneous intracellular transport with neural networks

    Daniel Han et al.
    Direct estimation of the Hurst exponent shows that endosomes and lysosomes reside in regimes of persistent and anti-persistent motion with heavy-tailed residence time distributions and motion correlated with endocytic function.
    1. Computational and Systems Biology
    2. Neuroscience

    A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans

    William M Roberts et al.
    A stochastic model of locomotory control in C. elegans based on an extensive new set of tracking data can explain and predict effects of ablations and mutations on behavior.
    1. Computational and Systems Biology
    2. Neuroscience

    Multivariate stochastic volatility modeling of neural data

    Tung D Phan et al.
    Multivariate stochastic volatility models provide insights into understanding the dynamics and connectivity of neural signals during cognitive tasks.
    1. Neuroscience

    Cerebellar learning using perturbations

    Guy Bouvier et al.
    A proposal for a complete cellular/network implementation of trial-and-error motor learning in the olivo-cerebellar system.
    1. Computational and Systems Biology
    2. Developmental Biology

    Stochasticity in the miR-9/Hes1 oscillatory network can account for clonal heterogeneity in the timing of differentiation

    Nick E Phillips et al.
    Stochasticity introduced computationally into a gene expression oscillator creates heterogeneity in the time of differentiation of identical cells and offers robustness to the progenitor state and the outcome of cell division.
    1. Neuroscience

    Output variability across animals and levels in a motor system

    Angela Wenning et al.
    Population output variability in a motor control system varies across levels (CPG, motor neurons, muscles) and can be ascribed to life history differences among animals and in some cases to differences between bilaterally homologous elements.
    1. Computational and Systems Biology
    2. Neuroscience

    A quantitative model of conserved macroscopic dynamics predicts future motor commands

    Connor Brennan, Alexander Proekt
    Calcium imaging is used to construct a model of Caenorhabditis elegans nervous system dynamics capable of predicting future behavioral switches on a trial by trial basis and across individual animals.
    1. Neuroscience

    Reward-based training of recurrent neural networks for cognitive and value-based tasks

    H Francis Song et al.
    A two-part neural network models reward-based training and provides a unified framework in which to study diverse computations that can be compared to electrophysiological recordings from behaving animals.
    1. Computational and Systems Biology
    2. Neuroscience

    A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning

    Nicholas T Franklin, Michael J Frank
    Computational modeling suggests that feedback between striatal cholinergic neurons and spiny neurons dynamically adjusts learning rates to optimize behavior in a variable world.
    1. Biochemistry and Chemical Biology
    2. Evolutionary Biology

    Reverse evolution leads to genotypic incompatibility despite functional and active site convergence

    Miriam Kaltenbach et al.
    Enzyme evolution is reversible on a structural and functional (phenotypic) level, but through a different mutational pathway that leads to genotypic incompatibility with the ancestor.

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