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相关概念视频

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems08:42

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems

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Fagot & Paleressompoulle1 have published an automated learning device (ALDM) aimed at testing individual cognitive abilities in semi-free ranging monkeys. The main goal of our protocol is to use a network of ALDM test units to study social cognition in non-human...
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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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This video presents a method of examining age-related changes in functional connectivity of cognitive control networks engaged by targeted tasks/processes. The technique is based on multi-variate analysis of fMRI...
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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data07:11

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We present CorrelationCalculator and Filigree, two tools for data-driven network construction and analysis of metabolomics data. CorrelationCalculator supports building a single interaction network of metabolites based on expression data, while Filigree allows building a differential network, followed by network clustering and enrichment analysis.
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Harmonic Mean01:09

Harmonic Mean

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The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
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Harmonic Nanoparticles for Regenerative Research09:23

Harmonic Nanoparticles for Regenerative Research

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Protocol details are provided for in vitro labeling human embryonic stem cells with second harmonic generating nanoparticles. Methodologies for hESC investigation by multi-photon microscopy and their differentiation into cardiac clusters are also...
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Event-related potential (ERP) recording is under utilized in Cognitive Neuroscience because data acquisition techniques are not readily available and this method often has poor spatial resolution. To foster the increased use of ERPs in Cognitive Neuroscience, the present article details key techniques involved in high density ERP data...
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相关实验视频

Updated: Jan 20, 2026

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
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在ADRC网络和超越-过去,现在和未来的认知数据协调.

Paul K Crane1, Changye Li2, Trevor Cohen2

  • 1Department of Medicine, University of Washington, Seattle, Washington, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|January 19, 2026
PubMed
概括

国家阿尔茨海默氏症协调中心使用现代心理测量方法协调了大量的认知数据. 这允许对阿尔茨海默病和认知功能进行更好的交叉研究研究.

关键词:
统一的数据集 (UDS) 是指统一的数据集.认知 认知 认知数字化评估是指数字化的评估.统一化和化 统一化和化心理测量是指心理测量.

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相关实验视频

Last Updated: Jan 20, 2026

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
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科学领域:

  • 神经科学是一个神经科学.
  • 心理测量 心理测量 心理测量
  • 数据科学数据科学数据科学

背景情况:

  • 国家阿尔茨海默氏症协调中心 (NACC) 统一数据集 (UDS) 从阿尔茨海默氏症疾病研究中心 (ADRC) 收集了大量的认知数据.
  • 随着UDS的发展,ADRC也在核心UDS之外使用了增强的神经心理电池.
  • 从不断发展的测试电池中分析认知数据存在挑战.

研究的目的:

  • 描述正在进行的努力和未来的计划,以优化使用NACC认知数据的现代心理测量方法.
  • 从UDS和非UDS数据中协调和共同校准认知领域得分.
  • 为未来的数据发展提供框架,包括数字认知测试.

主要方法:

  • 应用现代心理测量方法来协调和共同校准认知数据.
  • 专注于记忆,执行功能和语言领域.
  • 开发一个整合各种认知数据集的框架.

主要成果:

  • 已经实现了认知领域分数 (记忆,执行功能,语言) 的协调和共同校准.
  • 协同校准的分数和标准错误可从NACC获得.
  • 这些得分与众多其他研究的数据进行了同步校准,使得跨研究的比较成为可能.

结论:

  • 现代心理测量方法有效地解决了不断发展的认知测试电池所带来的挑战.
  • 这些方法促进了NACC丰富数据的最佳利用,用于协作阿尔茨海默氏症研究.
  • 该框架支持未来的进展,如数字认知测试和主观认知障碍分析.