학술논문

Modeling the grid cell activity based on cognitive space transformation
Document Type
Original Paper
Source
Cognitive Neurodynamics. 18(3):1227-1243
Subject
Grid cell
Place cell
Spatial transformation
Neural computational model
Cognitive space
Language
English
ISSN
1871-4080
1871-4099
Abstract
The grid cells in the medial entorhinal cortex are widely recognized as a critical component of spatial cognition within the entorhinal-hippocampal neuronal circuits. To account for the hexagonal patterns, several computational models have been proposed. However, there is still considerable debate regarding the interaction between grid cells and place cells. In response, we have developed a novel grid-cell computational model based on cognitive space transformation, which established a theoretical framework of the interaction between place cells and grid cells for encoding and transforming positions between the local frame and global frame. Our model not only can generate the firing patterns of the grid cells but also reproduces the biological experiment results about the grid-cell global representation of connected environments and supports the conjecture about the underlying reason. Moreover, our model provides new insights into how grid cells and place cells integrate external and self-motion cues.