Neuroengineering challenges of fusing robotics and neuroscience

被引：41
|
作者：
Cheng, Gordon [1 ,2 ]
Ehrlich, Stefan K. [1 ]
Lebedev, Mikhail [3 ,4 ,5 ]
Nicolelis, Miguel A. L. [6 ,7 ,8 ]
机构：
[1] Tech Univ Munich, Dept Elect & Comp Engn, Chair Cognit Syst, Arcisstr 21, D-80333 Munich, Germany
[2] Tech Univ Munich, Ctr Competence NeuroEngn, Arcisstr 21, D-80333 Munich, Germany
[3] Natl Res Univ Higher Sch Econ, Inst Cognit Neurosci, Ctr Bioelect Interfaces, Myasnitskaya 13,Bldg 4, Moscow 101000, Russia
[4] IM Sechenov First Moscow State Med Univ, 2-4 Bolshaya Pirogovskaya St, Moscow 119991, Russia
[5] Duke Univ, Dept Neurobiol, Ctr Neuroengn, Durham, NC 27710 USA
[6] Duke Univ, Dept Biomed Engn, Durham, NC 27710 USA
[7] Duke Univ, Dept Psychol & Neurosci, Durham, NC 27710 USA
[8] Edmund & Lily Safra Int Inst Neurosci, BR-59066060 Natal, RN, Brazil
来源：
SCIENCE ROBOTICS | 2020年 / 5卷 / 49期
关键词：
BRAIN-MACHINE INTERFACES;
D O I：
10.1126/scirobotics.abd1911
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
Advances in neuroscience are inspiring developments in robotics and vice versa.
引用
收藏
页数：4
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