A Preliminary Exploration of the Differences and Conjunction of Traditional PNT and Brain-inspired PNT

2025/10/19 by Xu He, Xiaolin Meng, He, Xu +19 · 1 citation
Neuroscience · Engineering · #EEG and Brain-Computer Interfaces #Memory and Neural Mechanisms #Spatial Cognition and Navigation

paper · pdf · doi:10.48550/arxiv.2510.16771

Abstract

Developing universal Positioning, Navigation, and Timing (PNT) is our enduring goal. Today's complex environments demand PNT that is more resilient, energy-efficient and cognitively capable. This paper asks how we can endow unmanned systems with brain-inspired spatial cognition navigation while exploiting the high precision of machine PNT to advance universal PNT. We provide a new perspective and roadmap for shifting PNT from "tool-oriented" to "cognition-driven". Contributions: (1) multi-level dissection of differences among traditional PNT, biological brain PNT and brain-inspired PNT; (2) a four-layer (observation-capability-decision-hardware) fusion framework that unites numerical precision and brain-inspired intelligence; (3) forward-looking recommendations for future development of brain-inspired PNT.

Citations

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Cited by

• Boosting Brain-inspired Path Integration Efficiency via Learning-based Replication of Continuous Attractor Neurodynamics

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