Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion

international conference on learning representations, 2019.

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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

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