An efficient spatial representation scheme for memory-based hippocampus-inspired model with VLSI implementation

Abstract

Hippocampus integrates events and places information critical for episodic memory. Memory-based hippocampus-inspired model (MBHIM) is a hippocampus-inspired model suitable for VLSI implementation. This paper proposes an efficient spatial representation scheme for MBHIM with VLSI implementation. Each layer represents a space of a different size to represent and store spatial information at different resolutions. This scheme can achieve the representation of large spaces with high spatial resolutions, even when the number of memory cells per layer is limited. We conducted an experiment using a VLSI system of MBHIM to demonstrate the effectiveness of the proposed scheme.