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

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.5K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.5K
Response Surface Methodology01:16

Response Surface Methodology

904
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
904

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

miR-133a silencing rescues glucocorticoid-induced bone loss by regulating the MAPK/ERK signaling pathway.

Stem cell research & therapy·2021
Same author

In vivo self-assembled small RNAs as a new generation of RNAi therapeutics.

Cell research·2021
Same author

Evaluation of the CARDS toxin and its fragment for the serodiagnosis of Mycoplasma pneumoniae infections.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2021
Same author

Time-resolved HO<sub>2</sub> detection with Faraday rotation spectroscopy in a photolysis reactor.

Optics express·2021
Same author

Gray Matter Density of the Dorsomedial Prefrontal Cortex Mediates the Relationship Between Catastrophizing and Anxiety in Somatic Symptom Disorder.

Neuropsychiatric disease and treatment·2021
Same author

Tumor suppressor lnc-CTSLP4 inhibits EMT and metastasis of gastric cancer by attenuating HNRNPAB-dependent Snail transcription.

Molecular therapy. Nucleic acids·2021

相关实验视频

Updated: May 1, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.1K

RMKD:轻松匹配的知识蒸,用于基于SSVEP的简短的大脑计算机接口.

Zhen Lan1, Zixing Li2, Chao Yan3

  • 1College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China; Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), 138632, Singapore.

Neural networks : the official journal of the International Neural Network Society
|January 25, 2025
PubMed
概括

这项研究引入了一种新的放松匹配知识蒸 (RMKD) 方法,以提高脑计算机接口 (BCI) 的性能. 在基于SSVEP的BCI系统中,RMKD显著提高了短电脑图 (EEG) 信号的解码精度.

关键词:
大脑计算机接口 (BCI)电脑电图 (EEG) 是一个电脑电图.知识的蒸知识的蒸.短时间的信号长度很短.稳定状态视觉唤起潜力 (SSVEP)

更多相关视频

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

487
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.2K

相关实验视频

Last Updated: May 1, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.1K
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

487
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.2K

科学领域:

  • 神经科学是一个神经科学.
  • 机器学习 机器学习
  • 生物医学工程 生物医学工程

背景情况:

  • 高性能脑电脑接口 (BCI) 系统依赖于精确的脑电图 (EEG) 信号解码.
  • 短的EEG信号长度往往会导致由于信息丢失而降低解码性能,从而限制了现实世界的BCI应用.
  • 稳态视觉唤起潜力 (SSVEP) 是一个常见的BCI范式,需要高效的信号处理.

研究的目的:

  • 改进基于SSVEP的BCI系统中短长度EEG信号的解码性能.
  • 提出一种新的知识蒸方法,有效地将知识从长长度转移到短长度EEG信号模型.
  • 为了解决BCI应用中短EEG信号中信息降解的挑战.

主要方法:

  • 开发了一种放松匹配知识蒸 (RMKD) 方法,包括特征级和logit级的知识传输.
  • 在特征层面使用频率掩盖生成蒸,通过重建教师特征来增强学生模型代表性.
  • 非目标类和类间关系蒸在logit层面相结合,以管理损失冲突并保持预测关系.

主要成果:

  • 拟议的RMKD方法显示了对短长度EEG信号的解码性能的显著改进.
  • 在六种不同的信号长度中,在独立于主体的环境中,对两个公共SSVEP数据集进行了实验.
  • 该方法有效地转移了知识,提高了解码的准确性,即使信号持续时间有限.

结论:

  • 通过改进短EEG信号的解码,RMKD方法为提高BCI性能提供了可行的解决方案.
  • 这种方法有效地减轻了与短EEG信号段中信息减少相关的性能退化.
  • 这些发现表明了开发更强大,更实用的基于SSVEP的BCI系统的有希望的方向.