IEEE Trans Cybern. 2022 Oct;52(10):10214-10227. doi: 10.1109/TCYB.2021.3071110. Epub 2022 Sep 19.
This article surveys the interdisciplinary research of neuroscience, network science, and dynamic systems, with emphasis on the emergence of brain-inspired intelligence. To replicate brain intelligence, a practical way is to reconstruct cortical networks with dynamic activities that nourish the brain functions, instead of using only artificial computing networks. The survey provides a complex network and spatiotemporal dynamics (abbr. network dynamics) perspective for understanding the brain and cortical networks and, furthermore, develops integrated approaches of neuroscience and network dynamics toward building brain-inspired intelligence with learning and resilience functions. Presented are fundamental concepts and principles of complex networks, neuroscience, and hybrid dynamic systems, as well as relevant studies about the brain and intelligence. Other promising research directions, such as brain science, data science, quantum information science, and machine behavior are also briefly discussed toward future applications.
本文综述了神经科学、网络科学和动态系统的跨学科研究，重点关注脑启发智能的出现。为了复制大脑智能，一种实用的方法是用滋养大脑功能的动态活动来重建皮质网络，而不仅仅是使用人工计算网络。该调查为理解大脑和皮质网络提供了一个复杂网络和时空动力学（简称网络动力学）的视角，并进一步发展了神经科学和网络动力学的综合方法，以构建具有学习和弹性功能的脑启发智能。文中介绍了复杂网络、神经科学和混合动态系统的基本概念和原理，以及关于大脑和智能的相关研究。还简要讨论了其他有前途的研究方向，如脑科学、数据科学、量子信息科学和机器行为，以展望未来的应用。
