Place cells dynamically refine grid cell activities to reduce error accumulation during path integration in a continuous attractor model.

ABSTRACT: Navigation is one of the most fundamental skills of animals. During spatial navigation, grid cells in the medial entorhinal cortex process speed and direction of the animal to map the environment. Hippocampal place cells, in turn, encode place using sensory signals and reduce the accumulated error of grid cells for path integration. Although both cell types are part of the path integration system, the dynamic relationship between place and grid cells and the error reduction mechanism is yet to be understood. We implemented a realistic model of grid cells based on a continuous attractor model. The grid cell model was coupled to a place cell model to address their dynamic relationship during a simulated animal's exploration of a square arena. The grid cell model processed the animal's veloci

SUBMITTER: Fernandez-Leon JA 

PROVIDER: S-EPMC9744848 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature