Place cells and geometry lead to a flexible grid pattern

Place cells and grid cells are important neurons involved in spatial navigation in the mammalian brain. Grid cells are believed to play an important role in forming a cognitive map of the environment. Experimental observations in recent years showed that the grid pattern is not invariant but is influenced by the shape of the spatial environment. However, the cause of this deformation remains elusive. Here, we focused on the functional interactions between place cells and grid cells, utilizing the information of location relationships between the firing fields of place cells to optimize the previous grid cell feedforward generation model and expand its application to more complex environmental scenarios. Not only was the regular equilateral triangle periodic firing field structure of the grid cells reproduced, but the expected results were consistent with the experiment for the environment with various complex boundary shapes and environmental deformation. Even in the field of three-dimensional spatial grid patterns, forward-looking predictions have been made. This provides a possible model explanation for how the coupling of grid cells and place cells adapt to the diversity of the external environment to deepen our understanding of the neural basis for constructing cognitive maps.

Automated summary

Recent studies have shown that grid cells are influenced by the shape of the spatial environment, yet the cause of this deformation remains unclear. By optimizing a model exploring the functional interactions between place cells and grid cells, researchers were able to reproduce grid cell firing patterns in complex environments and make forward-looking predictions even in three-dimensional spatial grid patterns. This provides a possible explanation for how grid cells and place cells adapt to diverse external environments, deepening our understanding of the neural basis for constructing cognitive maps.