Neuroscience and Network Dynamics Toward Brain-Inspired Intelligence
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 10214-10227 |
Journal / Publication | IEEE Transactions on Cybernetics |
Volume | 52 |
Issue number | 10 |
Online published | 28 Apr 2021 |
Publication status | Published - Oct 2022 |
Link(s)
Abstract
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.
Research Area(s)
- Artificial intelligence (AI), Brain modeling, complex network, Complex networks, dynamic resilience, hybrid dynamic system, learning, Neurons, neuroscience, Sociology, Spatiotemporal phenomena, Statistics
Citation Format(s)
Neuroscience and Network Dynamics Toward Brain-Inspired Intelligence. / Hu, Bin; Guan, Zhi-Hong; Chen, Guanrong et al.
In: IEEE Transactions on Cybernetics, Vol. 52, No. 10, 10.2022, p. 10214-10227.
In: IEEE Transactions on Cybernetics, Vol. 52, No. 10, 10.2022, p. 10214-10227.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review