2,067 results found
    1. Neuroscience

    Recurrent processes support a cascade of hierarchical decisions

    Laura Gwilliams, Jean-Remi King
    The dynamics of neural responses during visual perception are best explained by a joint feedforward and recurrent architecture, which both maintains and broadcasts input features over time.
    1. Cancer Biology
    2. Immunology and Inflammation

    CCL5 promotes breast cancer recurrence through macrophage recruitment in residual tumors

    Andrea Walens et al.
    CCL5-dependent macrophage recruitment drives breast cancer recurrence through collagen deposition in residual tumors.
    1. Neuroscience

    Persistent activity in a recurrent circuit underlies courtship memory in Drosophila

    Xiaoliang Zhao et al.
    Persistent activity of dopaminergic neurons in a mushroom recurrent circuit lays the foundation for courtship memory in Drosophila.
    1. Immunology and Inflammation
    2. Microbiology and Infectious Disease

    Mucosal infection rewires TNFɑ signaling dynamics to skew susceptibility to recurrence

    Lu Yu et al.
    Polarizing susceptibilities to recurrent bladder infection are shaped by a duality in TNFɑ-mediated inflammation dynamics upon challenge infection that is dictated by the outcome of the initial infection.
    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

    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. 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. 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

    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.

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