Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
international conference on learning representations, 2019.
This paper proposes a representational model for grid cells. In this model, the 2D self-position of the agent is represented by a high-dimensional vector, and the 2D self-motion or displacement of the agent is represented by a matrix that transforms the vector. Each component of the vector is a unit or a cell. The model consists of the ...更多
下载 PDF 全文