2,828 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

    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. 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. 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

    Speech encoding by coupled cortical theta and gamma oscillations

    Alexandre Hyafil et al.
    Computational modelling shows that coupled theta and gamma oscillations in the auditory cortex can decompose speech into its syllabic constituents, and organize the neural spiking at faster timescale into a decodable format.
    1. Computational and Systems Biology
    2. Neuroscience

    Towards deep learning with segregated dendrites

    Jordan Guerguiev et al.
    A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.
    1. Neuroscience

    Optimal compensation for neuron loss

    David GT Barrett et al.
    Spiking networks compensate the loss of neurons instantaneously, when restoration of excitatory/inhibitory balance becomes equivalent to restoration of functionality.
    1. Computational and Systems Biology

    Neural oscillations as a signature of efficient coding in the presence of synaptic delays

    Matthew Chalk et al.
    Neural oscillations are a necessary consequence of efficient coding of sensory signals by a spiking neural network, limited by synaptic delays and noise.

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