2,722 results found
    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. 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. Neuroscience

    Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks

    Vishwa Goudar, Dean V Buonomano
    A recurrent network model trained to transcribe temporally scaled spoken digits into handwritten digits proposes that the brain flexibly encodes time-varying stimuli as neural trajectories that can be traversed at different speeds.
    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. 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

    Network dynamics underlying OFF responses in the auditory cortex

    Giulio Bondanelli et al.
    Computational modeling demonstrates that population dynamics of neural calcium activity following stimulus offset are consistent with a network mechanism based on recurrent interactions.
    1. Neuroscience

    A multilayer circuit architecture for the generation of distinct locomotor behaviors in Drosophila

    Aref Arzan Zarin et al.
    Generation of a premotor/motor neuron comprehensive TEM reconstruction, functional optogenetics, and recurrent network modeling reveals different phase relationships among a subset of Drosophila motor neurons in forward versus backward locomotion.
    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. Neuroscience

    A model for focal seizure onset, propagation, evolution, and progression

    Jyun-you Liou et al.
    Usage-dependent inhibition breakdown and neural adaptation underpins the key spatiotemporal dynamics of human focal seizures.
    1. Neuroscience

    Brain states govern the spatio-temporal dynamics of resting-state functional connectivity

    Felipe Aedo-Jury et al.
    Distinct brain states govern resting state functional architecture revealed by neurophysiologically defined simultaneous optic-fiber-based calcium recordings and task-free functional magnetic resonance imaging (fMRI) in rats.

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