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

Cognitive Learning01:21

Cognitive Learning

1.2K
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
1.2K
Magnetic Declination01:19

Magnetic Declination

467
Magnetic declination is the angle between true north, which aligns with the Earth's rotational axis, and magnetic north, which follows the direction of the Earth's magnetic field. This discrepancy exists because the magnetic poles do not coincide with the geographic poles. The value of magnetic declination depends on the observer's location on Earth and is subject to changes over time due to the dynamic nature of the Earth's magnetic field.The declination is called eastern when magnetic north...
467
Cognitive Dissonance01:38

Cognitive Dissonance

37.5K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
37.5K
Conservation of Declining Populations02:07

Conservation of Declining Populations

13.4K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
13.4K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

2.1K
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
2.1K

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

Theta beta ratio in attention deficit hyperactivity disorder using a multiverse analysis.

eLife·2026
Same author

The influence of sample size and covariate distributions on neuroanatomical normative modeling.

eLife·2026
Same author

Toward dimensional psychiatry in youth: A data-driven analysis of transdiagnostic internalizing symptoms in childhood and adolescence.

PLOS mental health·2026
Same author

Altered white matter microstructure of language pathways and semantic cognition deficiencies in early psychosis.

Schizophrenia (Heidelberg, Germany)·2025
Same author

Toward Robust Neuroanatomical Normative Models: Influence of Sample Size and Covariates Distributions.

bioRxiv : the preprint server for biology·2025
Same author

Maintaining Brain Health: The Impact of Physical Activity and Fitness on the Aging Brain-A UK Biobank Study.

The European journal of neuroscience·2025

相关实验视频

Updated: Feb 7, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

预测持续认知衰退:多模式机器学习方法的概括性,包括结构MRI和非大脑数据.

Roya Melanie Hüppi, Nicolas Langer, Bruno Hebling Vieira

    medRxiv : the preprint server for health sciences
    |February 6, 2026
    PubMed
    概括

    机器学习模型使用多式联络数据预测认知衰退. 虽然这些模型显示了对新数据集的部分通用性,但在不同网站或队列中应用时,性能会下降.

    科学领域:

    • 神经科学是一个神经科学.
    • 人工智能的人工智能
    • 老年学是一门学科.

    背景情况:

    • 老龄化中的认知衰退显示出显著的个体变化.
    • 预测认知衰退的连续性有助于个性化干预.
    • 整合多种数据的机器学习模型显示出预测认知衰退的前景.

    研究的目的:

    • 复制和验证用于预测持续认知衰退的机器学习模型.
    • 评估这些模型在独立数据集和采集站点的通用性.
    • 评估结构磁共振成像 (MRI) 数据对模型性能的影响.

    主要方法:

    • 使用多目标随机森林回归模型.
    • 模型预测了临床痴呆症评分表 (CDR-SOB) 和迷你精神状态检查 (MMSE) 的年度下降率.
    • 模型性能在数据集内和跨数据集 (ADNI,OASIS-3) 中进行了评估.

    主要成果:

    • 整合结构性MRI数据改善了ADNI队列中的模型性能,与之前的OASIS-3发现一致.
    • 在未见的数据集上测试时,模型表现出统计学上显著的性能退化.
    • 在关键特征上训练的模型的表现与在外部验证中使用所有特征的模型相比,表明特征冗余.

    更多相关视频

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    11.5K
    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
    09:34

    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

    Published on: September 25, 2021

    4.5K

    相关实验视频

    Last Updated: Feb 7, 2026

    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
    12:18

    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

    Published on: January 11, 2020

    8.1K
    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    11.5K
    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
    09:34

    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

    Published on: September 25, 2021

    4.5K

    结论:

    • 持续认知衰退预测的多模式机器学习模型显示了部分概括性.
    • 跨数据集的性能退化凸显了现实应用中的挑战.
    • 仅使用结构性MRI特征的单模模型在外部没有很好地泛化.