Progress and Challenges of Neuroscience and Brain-inspired Artificial Intelligence

American Journal of Neuroscience

article

Lidong Wang¹  Cheryl Ann Alexander² 

[1] Mississippi State University, United States;Institute for IT innovation and Smart Health, United States

关键词: Brain-Inspired Computing;    Brain-Inspired Artificial Intelligence;    Neuroscience;    Connectome;    Brain Imaging;    Brain-Computer Interface;    Cyborg;    Neuro-Robotics;   

DOI  :  10.3844/amjnsp.2020.1.9

学科分类：心理学（综合）

来源: Science Publications

【 摘 要 】

Neuroscience and brain-inspired artificial intelligence are significant research areas. Many countries have launched brain-related projects in which neuroscience and brain-inspired artificial intelligence are major targeted areas to increase national interests and enhance their strength in key areas such as military and homeland security in the competitive global world. Methods, emerging technologies, and progress in neuroscience and brain-inspired artificial intelligence are introduced in this paper that specifically include brain-inspired computing, brain association graph, brain networks, the connectome, brain reconstruction, imaging technologies used for the brain, chips and devices inspired by the human brain, brain-computer interface or brain-machine interfaces, cyborg, neuro-robotics, and quantum robotics. Challenges in some of the topics are also presented and discussed.

【 授权许可】

CC BY