284 results found
    1. Neuroscience

    Resonating neurons stabilize heterogeneous grid-cell networks

    Divyansh Mittal, Rishikesh Narayanan
    Intrinsic neuronal resonance stabilizes heterogeneous neural networks by suppressing low-frequency perturbations.
    1. Computational and Systems Biology
    2. Neuroscience

    Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity

    Onur Ozan Koyluoglu et al.
    A fundamental lower-bound on memory recall precision, which declines with storage duration and number of stored items, is derived, and human performance is shown to be well-fit by this theoretical bound.
    1. Neuroscience

    Task-dependent recurrent dynamics in visual cortex

    Satohiro Tajima et al.
    A decoding-based, state-space reconstruction reveals that neurons in macaque IT cortex change the structure of their collective attractor dynamics depending on task contexts.
    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. Computational and Systems Biology
    2. Neuroscience

    Continuous attractors for dynamic memories

    Davide Spalla et al.
    A neural network model with asymmetric synaptic interactions can store and retrieve multiple continuous memory sequences with their temporal structure.
    1. Neuroscience

    Temporal chunking as a mechanism for unsupervised learning of task-sets

    Flora Bouchacourt et al.
    Model-based analyses of human behaviour and neural activity show that representations of concurrent task-sets emerge by merging together representations of individual stimulus-response associations that occur in temporal proximity.
    1. Neuroscience

    Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells

    John Widloski et al.
    A novel experimental method and analysis is conceived, based on perturbation and sparse recording, to elucidate the circuit structure and mechanisms underlying the responses of grid cells.
    1. Neuroscience

    Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity

    Simon Nikolaus Weber, Henning Sprekeler
    A large variety of spatial representations implied in rodent navigation could arise robustly and rapidly from inputs with a weak spatial structure, by an interaction of excitatory and inhibitory synaptic plasticity.
    1. Neuroscience
    2. Physics of Living Systems

    Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network

    Louis Kang, Michael R DeWeese
    An experimentally supported model of grid cells naturally enables them to participate in firing sequences that encode rapid trajectories in space.
    1. Neuroscience

    During hippocampal inactivation, grid cells maintain synchrony, even when the grid pattern is lost

    Noam Almog et al.
    Grid cells lose their hexagonality during hippocampal inactivation, but maintain temporal and spatial synchrony between pairs of cells, implying that hippocampus does not determine phase relations between grid cells.

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