Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Duration-modulated neural population dynamics in humans during BMI controls.

Communications biology·2026
Same author

Neuromodulatory Strategies Overcome Multiple Inevitable Impairments of Cerebral Palsy.

Journal of neurophysiology·2026
Same author

Clinically translatable ultrasound localization microscopy reveals cerebrovascular remodelling and prognosis in patients with traumatic brain injury.

Nature biomedical engineering·2026
Same author

Time-restricted feeding rejuvenates cerebrovascular function and preserves cognition during aging.

Research square·2026
Same author

Modulating Protein Function through Genetically Encoded Oxidative Chemistry.

Journal of the American Chemical Society·2026
Same author

Real-time volumetric imaging of cells and molecules in deep tissues with Takoyaki ultrasound.

Nature communications·2026

相关实验视频

Updated: Jul 9, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.8K

使用闭环超声波大脑机器接口解码电机计划.

Whitney S Griggs1,2, Sumner L Norman3, Thomas Deffieux4,5

  • 1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. wsgriggs@gmail.com.

Nature neuroscience
|November 30, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于大脑机器接口 (BMI) 的功能超声波 (fUS),使思想控制设备成为可能. 超声波BMI提供了一个不那么侵入性的,持久的解决方案,以恢复的功能.

更多相关视频

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K

相关实验视频

Last Updated: Jul 9, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.8K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K

科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 医疗技术 医疗技术 医学技术

背景情况:

  • 现有的脑机界面 (BMI) 在侵入性,性能和分辨率方面存在权衡.
  • 功能性超声波 (fUS) 神经成像是一种新兴技术,有可能平衡这些属性.

研究的目的:

  • 为了证明一个闭环超声波脑机界面 (BMI) 的成功实现.
  • 评估基于fUS的BMI的性能和长期可用性.

主要方法:

  • 在眼睛和手部运动期间,从两只 rhesus macaque 子的后壁皮层流动 fUS 数据.
  • 开发一种用于BMI的预训练方法,使用先前会议的数据来实现快速重新校准.

主要成果:

  • 子在训练后使用基于fUS的BMI成功控制了多达八个运动方向.
  • 预训练方法允许在随后的几天,甚至几个月间,在没有大量重新校准的情况下立即控制BMI.

结论:

  • 超声波BMI是可行的,提供了一种新的类型的不那么侵入性 (表皮层) 接口.
  • 这些接口在长时间内表现出普遍性,有望恢复神经障碍患者的功能.