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A Translational Approach to Neurotechnology Development

机译:神经技术发展的一种转化方法

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摘要

The past several decades have seen an explosion of meaningful and nuanced insights into the connection between human behavior and the nervous system; however, the translation of these insights into viable applications is a non-trivial and widely acknowledged challenge. Recent advancements in brain-computer interaction and real-world neuroimaging technologies have provided major breakthroughs that provide the underpinnings for translational neuros-cience research efforts. This session focuses on building off of those advancements and specifically proposes three concepts necessary for overcoming the challenges of translation: 1) integrating aspects of knowledge of brain function that are generally separate into single analyses, 2) increasing situational complexity, and 3) continuing to develop neuroimaging tools specifically for use in real-world environments.
机译:在过去的几十年中,人们对人类行为与神经系统之间的联系有了许多有意义而细微的见解。然而,将这些见解转化为可行的应用程序是一项不平凡且广为接受的挑战。脑机交互和现实世界中的神经成像技术的最新进展提供了重大突破,为转化神经科学研究工作提供了基础。本次会议着重于这些进步的基础上,并特别提出了克服翻译挑战所必需的三个概念:1)将脑功能知识的各个方面通常分为单个分析,2)增加情境的复杂性,以及3)继续开发专门用于现实环境的神经影像工具。

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