This perspective analyzes the intricate interplay among neuroscience, Brain-Inspired Intelligence (BII), and Brain-Inspired Navigation (BIN), revealing a current lack of cooperative relationship between Brain-Computer Interfaces (BCIs) and BIN fields. We advocate for the integration of neuromorphic-empowered BCI into BIN, thereby bolstering the unmanned systems' reliable navigation in demanding missions, such as deep space exploration, etc. We highlight that machine intelligence, reinforced by brain-inspired artificial consciousness, can extend human intelligence, with human intelligence mediated by neuromorphic-enabled BCI acting as a safeguard in case machine intelligence failures. This study also discusses the potentials of the proposed approach to enhance unmanned systems' capabilities and facilitate the diagnostics of spatial cognition disorders, while considering associated ethical and security concerns.
翻译:本文视角分析了神经科学、类脑智能与类脑导航之间复杂的相互作用,揭示了当前脑机接口与类脑导航领域缺乏协作关系的现状。我们主张将神经形态赋能的脑机接口整合到类脑导航中,从而增强无人系统在深空探测等严苛任务中的可靠导航能力。我们强调,由类脑人工意识增强的机器智能能够扩展人类智能,而通过神经形态赋能脑机接口介导的人类智能可在机器智能失效时充当安全保障。本研究还探讨了所提方法在提升无人系统能力、辅助空间认知障碍诊断方面的潜力,同时考虑了相关的伦理与安全问题。