相关实验视频

Updated: Jun 21, 2026

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

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品牌:一个与深度网络模型闭环实验的平台

Yahia H Ali1, Kevin Bodkin2, Mattia Rigotti-Thompson1

  • 1Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States of America.

Journal of neural engineering
|April 5, 2024
PubMed
概括

实时异步神经解码 (BRAND) 的新后端使人工神经网络 (ANN) 的快速,语言无关的整合成为实时大脑-计算机接口. 该系统实现了低延迟,在闭环实验中促进了先进的神经科学和机器学习应用.

关键词:
人工神经网络的人工神经网络大脑 计算机接口封闭循环的封闭循环.实时实时的时间.

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