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

页数：4

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