3,367 results found
    1. Neuroscience

    Non-rhythmic head-direction cells in the parahippocampal region are not constrained by attractor network dynamics

    Olga Kornienko et al.
    Head-direction cells in the parahippocampal region can be divided into two functionally distinct classes that are differentially constrained by attractor network dynamics.
    1. Computational and Systems Biology
    2. Neuroscience

    Learning recurrent dynamics in spiking networks

    Christopher M Kim, Carson C Chow
    Modifying the recurrent connectivity of spiking networks provides sufficient flexibility to generate arbitrarily complex recurrent dynamics, suggesting that individual neurons in a recurrent network have the capability to support near universal dynamics.
    1. Computational and Systems Biology
    2. Stem Cells and Regenerative Medicine

    A protein phosphatase network controls the temporal and spatial dynamics of differentiation commitment in human epidermis

    Ajay Mishra et al.
    A combination of transcriptomics, proteomics and modelling identifies a network of interacting protein phosphatases that act as a biological switch to move cells from the stem cell compartment to the differentiated compartment in cultured human epidermis.
    1. Neuroscience

    Recurrent circuit dynamics underlie persistent activity in the macaque frontoparietal network

    Eric Hart, Alexander C Huk
    Simultaneous recordings of neural ensembles in both the frontal and parietal cortices reveal how persistent activity can be maintained in the primate brain during visuospatial working memory.
    1. Computational and Systems Biology

    A large accessory protein interactome is rewired across environments

    Zhimin Liu et al.
    A massively multiplexed multi-condition screen shows that protein interactomes are larger than previously thought and contain highly dynamic regions that reorganize to drive or respond to cellular changes.
    1. Computational and Systems Biology
    2. Neuroscience

    Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks

    Thomas Miconi
    A biologically plausible learning rule allows recurrent neural networks to learn nontrivial tasks, using only sparse, delayed rewards, and the neural dynamics of trained networks exhibit complex dynamics observed in animal frontal cortices.
    1. Cell Biology
    2. Neuroscience

    VCP-dependent muscle degeneration is linked to defects in a dynamic tubular lysosomal network in vivo

    Alyssa E Johnson et al.
    The AAA-ATPase VCP sustains sarcoplasmic proteostasis, in part, by controlling autophagosome-lysosome fusion and the integrity of a dynamic tubular lysosomal network.
    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. Cell Biology

    Quantitative regulation of the dynamic steady state of actin networks

    Angelika Manhart et al.
    Cells are able to control the actin network length and steering by adjusting geometric, structural, or biochemical parameters such as ADF/Cofilin and actin concentrations, and network width.
    1. Computational and Systems Biology
    2. Neuroscience

    Dopamine role in learning and action inference

    Rafal Bogacz
    A mathematical model describes the function of dopaminergic neurons in both learning and action planning.

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