3,108 results found
    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

    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

    Impaired speed encoding and grid cell periodicity in a mouse model of tauopathy

    Thomas Ridler et al.
    Dementia-related tau pathology reduces speed encoding in the medial entorhinal cortex and is associated with reduced grid cell function, whilst head direction tuning remains intact.
    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.
    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

    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

    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
    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. Computational and Systems Biology
    2. Neuroscience

    Place-cell capacity and volatility with grid-like inputs

    Man Yi Yim et al.
    A very large number of place-field maps can be robustly learned by association of external cues with the grid-driven response, however plasticity in the grid-cell inputs renders the place-cell responses volatile.
    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.

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