A brain-computer interface that evokes tactile sensations improves robotic arm control

Author:

Flesher Sharlene N.123ORCID,Downey John E.1234ORCID,Weiss Jeffrey M.15ORCID,Hughes Christopher L.123ORCID,Herrera Angelica J.123ORCID,Tyler-Kabara Elizabeth C.6ORCID,Boninger Michael L.12578ORCID,Collinger Jennifer L.12358ORCID,Gaunt Robert A.1235ORCID

Affiliation:

1. Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA.

2. Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.

3. Center for the Neural Basis of Cognition, Pittsburgh, PA, USA.

4. Department of Organismal Biology, University of Chicago, Chicago, IL, USA.

5. Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.

6. Department of Neurosurgery, University of Texas at Austin, Austin, TX, USA.

7. McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

8. VA Center of Excellence, Department of Veterans Affairs, Pittsburgh, PA, USA.

Abstract

A boost for brain–computer interfaces The finely controlled movement of our limbs requires two-way neuronal communication between the brain and the body periphery. This includes afferent information from muscles, joints, and skin, as well as visual feedback to plan, initiate, and execute motor output. In tetraplegia, this neural communication is interrupted in both directions at the level of the spinal cord. Brain–computer interfaces have been developed to produce voluntary motor output controlled by directly recording from brain activity. Flesher et al. added an afferent channel to the brain–computer interface to mimic sensory input from the skin of a hand (see the Perspective by Faisal). The improvements achieved by adding the afferent input were substantial in a battery of motor tasks tested in a human subject. Science , abd0380, this issue p. 831 ; see also abi7262, p. 791

Funder

Defense Advanced Research Projects Agency

National Science Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Cited by 230 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3