Title: A navigation redirection model based on the entorhinal-hippocampal cognitive mechanism

Authors: Jinhan Yan; Naigong Yu; Yishen Liao; Zexuan Lv

Addresses: Beijing University of Technology, Beijing Key Laboratory of Computing Intelligence and Intelligent System, Chaoyang, Beijing, China ' Beijing University of Technology, Beijing Key Laboratory of Computing Intelligence and Intelligent System, Chaoyang, Beijing, China ' Beijing University of Technology, Beijing Key Laboratory of Computing Intelligence and Intelligent System, Chaoyang, Beijing, China ' Beijing University of Technology, Beijing Key Laboratory of Computing Intelligence and Intelligent System, Chaoyang, Beijing, China

Abstract: Animals possess remarkable navigation abilities, accurately estimating their direction within the environment. This functionality is achieved by head direction cells through angular path integration. However, directional errors continuously accumulate during this process, necessitating redirection using environmental cues. Most methods calibrate orientation by placing visual landmarks at a distal distance, while few consider nearby landmarks. In this paper, we propose a computational model for navigation redirection based on proximal landmarks to reduce cumulative errors. The model uses goal-vector cells in the hippocampus and object-vector cells in the entorhinal cortex to represent vector information for landmarks. When the landmarks are reencountered, the vector information will be processed at the retrosplenial cortex to redirect. Comparing experimental results with previous methods in simulation and real-world environments reveals that our method achieves higher calibration accuracy and broader adaptability. Our method is also more physiologically plausible and lays the foundation for developing brain-inspired navigation techniques.

Keywords: navigation redirection; head direction cells; entorhinal-hippocampal; goal-vector cells; object-vector cells.

DOI: 10.1504/IJWMC.2026.154169

International Journal of Wireless and Mobile Computing, 2026 Vol.30 No.4, pp.358 - 367

Received: 19 Sep 2023
Accepted: 01 Apr 2024
Published online: 15 Jun 2026 *

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