NSF Engineering Research Center for Sensorimotor Neural Engineering
NSF 感觉运动神经工程工程研究中心
基本信息
- 批准号:1028725
- 负责人:
- 金额:$ 1817.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-08-15 至 2021-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Over the last decade, the field of neural engineering has demonstrated to the world that a computer cursor, a wheelchair, or a simple prosthetic limb can be controlled using direct brain-machine and brain-computer neural signals. However, technologies that allow such accomplishments do not yet enable versatile and highly complex interactions with sophisticated environments. Today's intelligent systems and robots can neither sense nor move like biological systems, and devices implanted in or interfaced with neural systems cannot process neural data robustly, safely, and in a functionally meaningful way. Doing so requires a critical missing ingredient: a novel, neural-inspired approach based on a deep understanding of how biological systems acquire and process information. This is the focus of this proposal.The NSF ERC for Sensorimotor Neural Engineering (ERC/SNE or "Center") will become a global hub for delivering neural-inspired sensorimotor devices. Using devices that mine the rich data in neural signals available from implantable, wearable, and interactive interfaces, the ERC/SNE will build end-to-end integrated systems. Examples include: implantable neurochips that can activate paralyzed limbs by electrically stimulating muscles or nerve roots; stationary robots that extract neural signals from a user's touch to provide home-based, post-stroke therapy; neural-controlled adaptive prosthetic limbs that provide sophisticated sensory feedback, and wearable caps that control external exploration devices. Unlike traditional approaches that stress accommodation to the needs of people with neurological disabilities, the ERC/SNE will focus on proactive technologies that provide seamless and adaptive person-machine interaction. It will accomplish this mission with three core engineering thrusts: (1) communication and interface design for devices and data management, (2) reverse and forward engineering of neural systems and neural-inspired devices, and (3) control and adaptation technologies that express sensorimotor functions for individual needs.The ERC/SNE will nurture future global multidisciplinary leaders. It will develop middle and high school project-based curricula that introduce neural engineering principles to students underrepresented in engineering. It will create multi-institution, undergraduate and graduate Neural Engineering courses with new degree structures and develop vertical research mentoring chains to build a strong research culture from faculty to K-12. It will build long-lasting and deep relationships through faculty and student exchange programs across all disciplines and partnering institutions, with a goal of removing barriers in communication across different fields, countries, and diverse backgrounds. The neural engineering field creates new pathways from the less quantitatively-based biological sciences to the more quantitatively-based engineering fields as well as pathways for people with disabilities to work in an engineering field that addresses their own experience and needs. The women and underrepresented minorities who currently account for over 40% of the Center's leadership team will serve as role models for students and starting faculty. Further, the ERC/SNE will extend its impact by identifying key technologies according to market significance and technical risk. The Center's portfolio will be constructed to deliver a steady stream of innovations over the near and long term. Its industry partnership structure includes not only small and large firms that will help shape Center IPs, but also hospitals and investment firms that will ground research activities to technologies that will truly assist people in need and steer future neural engineering market directions.The ERC/NSE will strive to enhance the human experience both for persons with neurological disabilities and for the coming generation of global and diverse engineering innovators. The Center's seasoned, multi-disciplinary team will transform healthcare, manufacturing, and the educational infrastructure to guarantee neural engineering global leadership.
在过去的十年中,神经工程领域已经向世界证明,计算机光标,轮椅或简单的假肢可以使用直接的脑机和脑机神经信号进行控制。然而,实现这些成就的技术还不能实现与复杂环境的多功能和高度复杂的交互。今天的智能系统和机器人既不能像生物系统那样感知也不能像生物系统那样移动,植入神经系统或与神经系统连接的设备也不能以稳健、安全和有功能意义的方式处理神经数据。这样做需要一个关键的缺失成分:一种基于对生物系统如何获取和处理信息的深刻理解的新颖的神经启发方法。NSF感觉运动神经工程ERC(ERC/SNE或“中心”)将成为提供神经启发的感觉运动设备的全球中心。ERC/SNE将使用从植入式、可穿戴式和交互式接口中获取神经信号中丰富数据的设备,构建端到端的集成系统。示例包括:可植入的神经芯片,可以通过电刺激肌肉或神经根激活瘫痪的肢体;固定机器人,从用户的触摸中提取神经信号,以提供基于家庭的中风后治疗;神经控制的自适应假肢,提供复杂的感觉反馈,以及可穿戴的帽子,控制外部探索设备。与强调适应神经残疾人需求的传统方法不同,ERC/SNE将专注于提供无缝和自适应人机交互的主动技术。ERC/SNE将通过三个核心工程推动力来完成这一使命:(1)设备和数据管理的通信和接口设计,(2)神经系统和神经启发设备的逆向和正向工程,(3)表达个人需求的感觉运动功能的控制和适应技术。ERC/SNE将培养未来的全球多学科领导者。它将开发基于项目的初中和高中课程,向在工程领域代表性不足的学生介绍神经工程原理。它将创建具有新学位结构的多机构,本科和研究生神经工程课程,并开发垂直研究指导链,以建立从教师到K-12的强大研究文化。它将通过跨所有学科和合作机构的教师和学生交流计划建立持久和深入的关系,旨在消除不同领域,国家和不同背景的沟通障碍。神经工程领域创造了新的途径,从不太基于量化的生物科学到更基于量化的工程领域,以及残疾人在工程领域工作的途径,以解决他们自己的经验和需求。目前占该中心领导团队40%以上的妇女和代表性不足的少数民族将成为学生和教师的榜样。此外,ERC/SNE将通过根据市场重要性和技术风险确定关键技术来扩大其影响。该中心的投资组合将在近期和长期内提供稳定的创新流。其行业合作伙伴关系结构不仅包括有助于塑造中心知识产权的小型和大型公司,而且医院和投资公司也将研究活动与真正帮助有需要的人并引导未来神经工程市场方向的技术相结合。NSE将努力为神经残疾人士和下一代全球和多样化的工程师增强人类体验。创新者该中心经验丰富的多学科团队将改变医疗保健,制造业和教育基础设施,以确保神经工程的全球领导地位。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Rajesh Rao其他文献
Amorphous/crystalline silicon heterojunction solar cells via Remote plasma chemical vapor deposition: Influence of hydrogen dilution, RF power, and sample Z-height position
通过远程等离子体化学气相沉积的非晶/晶体硅异质结太阳能电池:氢气稀释、射频功率和样品 Z 高度位置的影响
- DOI:
10.1109/pvsc.2013.6744373 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
E. Onyegam;W. James;Rajesh Rao;Leo Mathew;M. Hilali;Sanjay K. Banerjee - 通讯作者:
Sanjay K. Banerjee
Surgery: Is There a Difference Between Men and Women? Postoperative Complications Following Orthopedic Spine
手术:男性和女性之间有区别吗?
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
J. Heyer;Na Cao;R. Amdur;Rajesh Rao - 通讯作者:
Rajesh Rao
Gómez-López-Hernández syndrome: a case report on pediatric neurotrophic corneal ulcers and review of the literature
- DOI:
10.1016/j.jaapos.2021.08.299 - 发表时间:
2021-12-01 - 期刊:
- 影响因子:
- 作者:
Jonathan Chao;Rajesh Rao;Chirag Gupta - 通讯作者:
Chirag Gupta
Mo1504: IN SILICO EVALUATION AND PRE-CLINICAL EFFICACY OF ANTI-TNF AND ANTI-IL-23 COMBINATION THERAPY IN INFLAMMATORY BOWEL DISEASE
- DOI:
10.1016/s0016-5085(22)61876-6 - 发表时间:
2022-05-01 - 期刊:
- 影响因子:
- 作者:
Jacqueline Perrigoue;Luciana R. Muniz-Bongers;Luvena L. Ong;Yanqing Chen;Leon Chang;Karen Ngo;Aleksandar Stojmirovic;Christopher D. O’Brien;Matthew Germinaro;Rajesh Rao;Marion Vetter;Jennifer Towne - 通讯作者:
Jennifer Towne
Part input into a flexible flow system: An evaluation of look-ahead simulation and a fuzzy rule base
- DOI:
10.1007/bf01313696 - 发表时间:
1992-01-01 - 期刊:
- 影响因子:3.200
- 作者:
Robert M. O'Keefe;Rajesh Rao - 通讯作者:
Rajesh Rao
Rajesh Rao的其他文献
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{{ truncateString('Rajesh Rao', 18)}}的其他基金
RI: Small: Probabilistic Goal-Based Imitation Learning
RI:小:基于概率目标的模仿学习
- 批准号:
1318733 - 财政年份:2013
- 资助金额:
$ 1817.5万 - 项目类别:
Standard Grant
Electrocorticographic Brain-Machine Interfaces for Communication and Prosthetic Control
用于通信和假肢控制的皮质电脑机接口
- 批准号:
0930908 - 财政年份:2009
- 资助金额:
$ 1817.5万 - 项目类别:
Standard Grant
Exploring the Neural Dynamics of Cognition through Human Electrocorticography
通过人体皮层电图探索认知的神经动力学
- 批准号:
0642848 - 财政年份:2007
- 资助金额:
$ 1817.5万 - 项目类别:
Continuing Grant
BIC: Probabilistic Neural Computation: Models and Applications in Robotics and Brain-Machine Interfaces
BIC:概率神经计算:机器人和脑机接口中的模型和应用
- 批准号:
0622252 - 财政年份:2006
- 资助金额:
$ 1817.5万 - 项目类别:
Continuing Grant
Probabilistic Imitation Learning in Infants and Robots
婴儿和机器人的概率模仿学习
- 批准号:
0413335 - 财政年份:2004
- 资助金额:
$ 1817.5万 - 项目类别:
Standard Grant
CAREER: Neurally Inspired Active Vision: Theory, Models, and Applications in Mobile Robotics
职业:神经启发主动视觉:移动机器人的理论、模型和应用
- 批准号:
0133592 - 财政年份:2002
- 资助金额:
$ 1817.5万 - 项目类别:
Continuing Grant
Adaptive Neurally-Inspired Computing: Models, Algorithms, and Silicon-Based Architectures
自适应神经启发计算:模型、算法和基于硅的架构
- 批准号:
0130705 - 财政年份:2001
- 资助金额:
$ 1817.5万 - 项目类别:
Standard Grant
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- 项目类别:专项基金项目
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