1,757 results found
    1. Neuroscience

    Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis

    Yedidyah Dordek et al.
    Computational modeling of the brain’s navigation system reveals that place cells can drive the formation of hexagonal patterns experimentally observed in grid cells activity.
    1. Neuroscience

    A principle of economy predicts the functional architecture of grid cells

    Xue-Xin Wei et al.
    Mathematical modeling suggests that grid cells in the rodent brain use fundamental principles of number theory to maximize the efficiency of spatial mapping, enabling animals to accurately encode their location with as few neurons as possible.
    1. Neuroscience

    Framing of grid cells within and beyond navigation boundaries

    Francesco Savelli et al.
    Grid-cell maps can be aligned to both local and remote reference frames, suggesting that they provide a metric for space beyond the navigationally accessible boundaries of the local environment.
    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

    Grid-cell representations in mental simulation

    Jacob LS Bellmund et al.
    Functional magnetic resonance imaging performed while people imagined directions from stationary viewpoints supports theories suggesting that spatially tuned cells such as grid cells underlie mental simulation for future thinking.
    1. Neuroscience

    Environmental deformations dynamically shift the grid cell spatial metric

    Alexandra T Keinath et al.
    When a familiar environment is reshaped, the grid cell spatial code is dynamically anchored to recently encountered boundaries and changes throughout exploration with the specific movement history of the navigator.
    1. Neuroscience

    The self-organization of grid cells in 3D

    Federico Stella, Alessandro Treves
    A computational model for the formation of neural networks of grid cells in virtual bats suggests that the highly ordered networks presumed to support spatial navigation in two dimensions cannot be routinely established in three-dimensional space.
    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

    Visual landmarks sharpen grid cell metric and confer context specificity to neurons of the medial entorhinal cortex

    José Antonio Pérez-Escobar et al.
    The firing rate of MEC neurons conveys information about visual landmarks.
    1. Computational and Systems Biology
    2. Neuroscience

    Probable nature of higher-dimensional symmetries underlying mammalian grid-cell activity patterns

    Alexander Mathis et al.
    Mathematical analysis confirms that hexagonal patterns of neuronal activity are the most efficient means for the brain to represent 2D space, and predicts that activity patterns resembling densely packed lattices are optimal for representing 3D space.

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