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• W2887339770 abstract "Grid cells in the entorhinal cortex are believed to establish their regular, spatially correlated firing patterns by path integration of the animal’s motion. Mechanisms for path integration, e.g. in attractor network models, predict stochastic drift of grid responses, which is not observed experimentally. We demonstrate a biologically plausible mechanism of dynamic self-organization by which border cells, which fire at environmental boundaries, can correct such drift in grid cells. In our model, experience-dependent Hebbian plasticity during exploration allows border cells to learn connectivity to grid cells. Border cells in this learned network reset the phase of drifting grids. This error-correction mechanism is robust to environmental shape and complexity, including enclosures with interior barriers, and makes distinctive predictions for environmental deformation experiments. Our work demonstrates how diverse cell types in the entorhinal cortex could interact dynamically and adaptively to achieve robust path integration." @default.
• W2887339770 created "2018-08-22" @default.
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• W2887339770 date "2018-08-05" @default.
• W2887339770 modified "2023-10-17" @default.
• W2887339770 title "Dynamic self-organized error-correction of grid cells by border cells" @default.
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• W2887339770 doi "https://doi.org/10.1101/385229" @default.
• W2887339770 hasPublicationYear "2018" @default.
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