@article{jcsa2019719,
author={{Wang, Lidong and Alexander, Cheryl Ann},
title={Brain Science and Brain-inspired Artificial Intelligence: Advances and Trends},
journal={Journal of Computer Sciences and Applications},
volume={7},
number={1},
pages={56--61},
year={2019},
url={http://pubs.sciepub.com/jcsa/7/1/9},
issn={2328-725X},
abstract={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).},
doi={10.12691/jcsa-7-1-9}
publisher={Science and Education Publishing}
}