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

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

419
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
419
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

5.6K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
5.6K
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists01:30

Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists

95
Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
95
False Memories01:18

False Memories

71
False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
71
Cognitive Learning01:21

Cognitive Learning

219
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...
219

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

Examining the clinical utility of the Medical Symptom Validity Immediate Recognition subtest as an abbreviated freestanding performance validity test.

Applied neuropsychology. Adult·2026
Same author

Emotional dysfunction as a predictor of reported current, but not childhood, ADHD symptoms among adults with and without ADHD.

Journal of psychiatric research·2026
Same author

Racial Identity and Racial Socialization: A Scoping Review of Clinical, School-Based, and Community Interventions and Trauma Among Black Youth Since COVID-19.

Journal of black studies·2026
Same author

Performance validity test failure rates among neuropsychological outpatients clinically referred for persistent Long COVID cognitive symptoms following mild SARS-CoV-2 disease severity.

Journal of clinical and experimental neuropsychology·2026
Same authorSame journal

Exploring the relationship between self-report and performance-based measures of impulsivity.

The Clinical neuropsychologist·2026
Same author

Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries.

NPJ artificial intelligence·2026
Same journal

Unraveling delusional misidentification: A neuropsychological and experimental exploration of a new case of reduplication syndrome.

The Clinical neuropsychologist·2026
Same journal

Characteristics and clinical correlates of objective medication adherence in older adults with cognitive impairment.

The Clinical neuropsychologist·2026
Same journal

Concordance between domain-based neuropsychological profiles and clinical phenotypes in young-onset dementia.

The Clinical neuropsychologist·2026
Same journal

Correction.

The Clinical neuropsychologist·2026
Same journal

TASIT super short: Empirical development of a social cognition screener.

The Clinical neuropsychologist·2026
查看所有相关文章

相关实验视频

Updated: Jun 5, 2025

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

7.5K

使用机器学习来检测不可信的认知测试表现.

John-Christopher A Finley1, Anthony D Robinson2, Jason R Soble2,3

  • 1Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

The Clinical neuropsychologist
|December 14, 2024
PubMed
概括
此摘要是机器生成的。

无监督机器学习 (ML) 在神经心理测试中准确评估了性能有效性. 这种使用患者数据的先进方法,有望改善神经心理学中的有效性评估和数字化整合.

关键词:
机器学习是机器学习.人工智能的人工智能是人工智能.菲恩·费恩 (Feign) 是一个古老的神经心理学神经心理学性能有效性 性能有效性的有效性

更多相关视频

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

7.3K
Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
08:42

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

Published on: May 5, 2015

12.0K

相关实验视频

Last Updated: Jun 5, 2025

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

7.5K
Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
06:58

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

7.3K
Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
08:42

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

Published on: May 5, 2015

12.0K

科学领域:

  • 神经心理学 神经心理学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 在神经心理测试中评估性能有效性至关重要.
  • 先进的算法方法,包括机器学习 (ML),可以提高有效性评估.

研究的目的:

  • 调查无监督ML在评估神经心理评估期间绩效有效性的有用性.
  • 确定ML是否可以准确地将患者数据分为有效和无效的绩效组.

主要方法:

  • 一个无监督的ML模型分析了359名成人门诊患者的数据.
  • 数据包括表现有效性测试成绩,病史/精神病史,转诊原因,诉讼和残疾状况.
  • 该模型的集群与已建立的有效性评级进行了比较.

主要成果:

  • ML模型确定了两个集群:有效和无效的性能.
  • 该模型实现了出色的预测准确性 (AUC = .92).
  • 绩效有效性测试得分是最有影响力的,其次是病史,转诊原因和残疾状态.

结论:

  • 无监督的ML可以使用各种神经心理评估数据准确评估性能有效性.
  • 这种方法可以克服传统有效性评估方法的局限性.
  • 无监督的ML可以适应数字技术,有可能改善未来的有效性评估.