课题基金 / 基金详情

Integrative Training in Neural Interfacing

Integrative Training in Neural Interfacing
神经接口综合培训
批准号:
10204598
负责人:
BIN HE
金额:
$19.81万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-01 至 2026-08-31

项目摘要

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中文摘要
翻译
项目摘要 我们建议建立一个神经接口的综合研究生培训计划,以提高 重要的是跨学科教育和下一代科学家培训的深度和广度 在这个重要的新兴领域的技术领导者。该计划的动机是这样一个概念, 神经接口研究的未来突破将由创新神经接口的工程师来实现 技术与脑科学的基本问题和原则的深刻理解,谁有 在现实世界的生物环境中应用神经接口技术方面有实践经验, 旨在最终的临床应用。拟议的计划将培养博士生与定量 工程背景:1)发展技术和理论基础,了解大脑 功能和功能障碍通过神经接口,即,通过感知、建模、解码和调制 在电路,网络和全脑水平的脑动力学,2)推进我们对脑功能的理解, 领域的学习,运动控制,知觉和认知,并确定和量化的适应性变化 在一个新的环境中,当与机器互动时,或者当在一个改变的,患病的 3)创新大脑传感、建模、解码和调制技术, 可量化的行为或感知结果,以及在一个过程中大脑中发生的适应性变化。 神经干预我们的博士前研究员将通过一系列机制进行培训,包括一个新的 建议神经工程辅修课程,神经接口实习课程,包括8~12个小型实验室旋转, 深入的研究轮换,论文共同顾问,每周的培训活动,包括研讨会和座谈会,以及 职业技能发展培训和负责任的研究行为。咨询系统将有助于指导 学生通过方案。我们的计划将降低跨学科,融合研究的障碍, 培养具有定量背景的学生,使其具备多个领域的综合专业知识, 未来,这些学生可以作为工程与神经科学交叉施肥的催化剂, 下一代我们的学员将为学术和工业挑战做好充分准备, 候选人的学术,工业和政府的职业生涯,并在翻译科学的前沿 研究结果以及工程和计算技术发展到工业和临床环境中。是 预计拟议培训计划的学员将通过神经技术成为未来的领导者 这些创新可以增强、测量和调节我们的大脑,并最终通过神经接口治愈我们的大脑。
英文摘要
Project Summary We propose to establish an integrative graduate training program in Neural Interfacing to enhance significantly the depth and breadth of interdisciplinary education and training of the next generation of scientific and technical leaders in this important, emerging field. The proposed program is motivated by the notion that future breakthroughs in neural interfacing research will be made by engineers who innovate neural interfacing technologies with a deep understanding of the fundamental issues and principles of brain science, and who have had hands-on experience in the application of neural interfacing technology in a real-world biological setting, aiming at ultimate clinical applications. The proposed program will train doctoral students with quantitative engineering backgrounds to: 1) Develop the technological and theoretical foundations to understand brain function and dysfunction through neural interfacing, i.e., through sensing, modeling, decoding, and modulating brain dynamics at circuit, network, and whole brain levels, 2) Advance our understanding of brain function in the domains of learning, motor control, perception and cognition, and determine and quantify the adaptive changes of the brain that occur in a novel environment, when interacting with a machine, or when in an altered, diseased state, and 3) Innovate brain sensing, modeling, decoding, and modulation technologies, based both on quantifiable behavioral or perceptual outcomes and on the adaptive changes occurring in the brain during a neural intervention. Our predoctoral fellows will be trained through an array of mechanisms including a newly proposed Neuroengineering Minor, a Practicum of Neural Interfacing course consisting of 8~12 mini-lab-rotations, in-depth research rotations, thesis co-advisors, weekly training activities including seminars and colloquia, and training in career skills development and responsible conduct of research. An advisory system will help guide students through the program. Our program will lower the barriers to interdisciplinary, convergent research by training students with quantitative backgrounds to possess integrative expertise in multiple fields so that, going forward, these students can serve as catalysts for the cross-fertilization of engineering with neuroscience in the next generation. Our trainees will be well prepared for academic and industrial challenges, be competitive candidates for academic, industry and government careers, and be at the forefront of translating scientific findings and engineering and computational technology development into industrial and clinical settings. It is anticipated that trainees of the proposed training program will become future leaders through neurotechnology innovations that enhance, measure and modulate, and ultimately heal our brain through neural interfaces.
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  • 财政年份:
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