2,245 results found
    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

    Distributed functions of prefrontal and parietal cortices during sequential categorical decisions

    Yang Zhou et al.
    Prefrontal cortex plays a leading role in sequential decisions compared to posterior parietal cortex and relies on nonlinear integration of sensory and mnemonic information for decision formation.
    1. Evolutionary Biology
    2. Neuroscience

    Echinoderms provide missing link in the evolution of PrRP/sNPF-type neuropeptide signalling

    Luis Alfonso Yañez-Guerra et al.
    Discovery of a novel neuropeptide signalling system in a deuterostome invertebrate reveals the evolutionary origin of prolactin-releasing peptide and its relationship with neuropeptides in protostome invertebrates.
    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. 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. Developmental Biology
    2. Physics of Living Systems

    From local resynchronization to global pattern recovery in the zebrafish segmentation clock

    Koichiro Uriu et al.
    Theory explains how transport of gene expression vortices by cell advection may cause intermingled defective and normal segments along the body axis during resynchronization experiments in the zebrafish segmentation clock.
    1. Neuroscience
    2. Physics of Living Systems

    Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making

    Robin Cao et al.
    The statistics of binocular rivalry at different combinations of image contrast is reproduced quantitatively by competing out-of-equilibrium populations of independent neural assemblies with idealized attractor dynamics.
    1. Neuroscience

    Spike frequency adaptation supports network computations on temporally dispersed information

    Darjan Salaj et al.
    Spike frequency adaptation provides spiking neural networks with long short-term memory.
    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

    Learning prediction error neurons in a canonical interneuron circuit

    Loreen Hertäg, Henning Sprekeler
    The formation and refinement of prediction error circuits relies on an experience-dependent balance of excitation and inhibition in canonical microcircuits.

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