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.

中文翻译：

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面向类脑智能的神经科学和网络动力学。

本文综述了神经科学、网络科学和动态系统的跨学科研究，重点关注类脑智能的出现。为了复制大脑智能，一种实用的方法是重建具有滋养大脑功能的动态活动的皮层网络，而不是仅使用人工计算网络。该调查提供了一个复杂的网络和时空动力学（简称网络动力学）视角来理解大脑和皮层网络，此外，还开发了神经科学和网络动力学的综合方法，以构建具有学习和恢复功能的大脑启发智能。介绍了复杂网络、神经科学和混合动力系统的基本概念和原理，以及有关大脑和智力的相关研究。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也被简要讨论了未来的应用。