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The periodic firing pattern of grid cells is thought to be involved in path integration (the use of self-motion signals to estimate the distance and direction the animal has traveled) and to contribute to the representation of location.
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Also at the interface between theory and experiment, in the past few years there have been several theoretical studies motivated by the beautiful geometrical pattern of grid cell firing fields [12–14].
The highly periodic pattern of grid cell activity and the rather persistent activity of border cells might not make them the best candidates to study p/replay in these cells, at least not by simply employing the conventional spatial-temporal sequence analysis that is being widely used for CA1 place cell sequences.
For mammals navigating on a surface, we show that the hexagonal activity patterns of grid cells are optimal.
Maximizing the resolution explains the observed hexagonal patterns of grid cells in 2D, and predicts an F C C lattice (or equivalent packing) for grid-cell tuning curves of mammals that can freely explore the 3D nature of their environment.
The firing patterns of grid cells in medial entorhinal cortex (mEC) and associated brain areas form triangular arrays that tessellate the environment [ 1, 2] and maintain constant spatial offsets to each other between environments [ 3, 4].
During early sessions, periodic firing patterns typical of grid cells were present in the environment and were replicated between the two compartments.
These include predictions of the number of grid cells in the rat brain, as well as the pattern that grid cells adopt in three-dimensions: a question that is currently being studied in bats.
Ten years of grid cells.
Reports the discovery of grid cells.
attractor network models of grid cells.
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