1Institute for Systems Engineering Research, Mississippi State University, Vicksburg, Mississippi, USA
2Institute for IT innovation and Smart Health, Vicksburg, Mississippi, USA
Journal of Computer Sciences and Applications.
2019,
Vol. 7 No. 1, 56-61
DOI: 10.12691/jcsa-7-1-9
Copyright © 2019 Science and Education PublishingCite this paper: Lidong Wang, Cheryl Ann Alexander. Brain Science and Brain-inspired Artificial Intelligence: Advances and Trends.
Journal of Computer Sciences and Applications. 2019; 7(1):56-61. doi: 10.12691/jcsa-7-1-9.
Correspondence to: Lidong Wang, Institute for Systems Engineering Research, Mississippi State University, Vicksburg, Mississippi, USA. Email:
lidong@iser.msstate.eduAbstract
Brain science and brain-inspired artificial intelligence have been very significant areas. They have a wide range of applications including military and defense, intelligent manufacturing, business intelligence and management, medical service and healthcare, etc. Many countries have launched national brain-related projects to increase the national interests and capability in the competitive global world. In this paper, we introduce some concepts, principles, and emerging technologies of brain science and brain-inspired artificial intelligence; present their advances and trends; and outline some challenges in brain-inspired computing and computation based on spiking-neural-networks (SNNs). Specifically, the advances and trends cover brain-inspired computing, neuromorphic computing systems, and multi-scale brain simulation, brain association graph, brainnetome and the connectome, brain imaging, brain-inspired chips and brain-inspired devices, brain-computer interface (BCI) and brain-machine interface (BMI), brain-inspired robotics and applications, quantum robots, and cyborg (human-machine hybrids).
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