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3,265 results found
    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. Neuroscience

    Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons

    Dongsheng Xiao et al.
    Mesoscale cortical calcium activity correlating with single cortical and thalamic cell spiking reveal rich dynamics and support a novel approach for investigating in vivo functional networks in the mammalian brain.
    1. Neuroscience

    Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

    Ian Cone, Harel Z Shouval
    A computational model shows that it's possible to learn and replay extended temporal sequences in a network of spiking neurons with a modular architecture and a biologically realistic learning rule.
    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. Neuroscience

    A transformation from temporal to ensemble coding in a model of piriform cortex

    Merav Stern et al.
    A spiking network model that examines the transformation of odor information from olfactory bulb to piriform cortex demonstrates how intrinsic cortical circuitry preserves representations of odor identity across odorant concentrations.
    1. Computational and Systems Biology
    2. Neuroscience

    Fast and flexible sequence induction in spiking neural networks via rapid excitability changes

    Rich Pang, Adrienne L Fairhall
    Biologically plausible changes in the excitabilities of single neurons may suffice to selectively modulate sequential network dynamics, without modifying of recurrent connectivity.
    1. Computational and Systems Biology
    2. Developmental Biology

    Vertex sliding drives intercalation by radial coupling of adhesion and actomyosin networks during Drosophila germband extension

    Timothy E Vanderleest et al.
    Tricellular vertices possess sliding behaviors that harness radial forces and drive cell shape changes and intercalation in an epithelial tissue.
    1. Computational and Systems Biology
    2. Neuroscience

    Mixed-mode oscillations and population bursting in the pre-Bötzinger complex

    Bartholomew J Bacak et al.
    Computational modeling reveals the mechanisms by which a diverse group of neurons in the brainstem generates rhythmic breathing in mammals.
    1. Evolutionary Biology

    Striking parallels between dorsoventral patterning in Drosophila and Gryllus reveal a complex evolutionary history behind a model gene regulatory network

    Matthias Pechmann et al.
    Crucial functions of Toll signalling during dorsoventral axis formation might have evolved convergently in flies and crickets.
    1. Neuroscience

    Emergence of non-canonical parvalbumin-containing interneurons in hippocampus of a murine model of type I lissencephaly

    Tyler G Ekins et al.
    An excess of novel non-canonical subtypes of parvalbumin+ interneurons in a mouse model of classical lissencephaly, which possess non-fast-spiking physiological properties, may contribute to network hyperexcitability common in this model.

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