Jove
Visualize
联系我们

相关概念视频

Working Memory01:24

Working Memory

196
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
196
Association Areas of the Cortex01:21

Association Areas of the Cortex

5.4K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.4K
Associative Learning01:27

Associative Learning

415
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
415
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

111
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
111
Cognitive Learning01:21

Cognitive Learning

264
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...
264
Role of Cerebellum and Prefrontal Cortex in Memory01:14

Role of Cerebellum and Prefrontal Cortex in Memory

452
The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
452

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

LLM-based robot personality simulation and cognitive system.

Scientific reports·2025
Same author

Implementation of Engagement Detection for Human-Robot Interaction in Complex Environments.

Sensors (Basel, Switzerland)·2024
Same author

Enhancing the Versatility and Performance of Soft Robotic Grippers, Hands, and Crawling Robots Through Three-Dimensional-Printed Multifunctional Buckling Joints.

Soft robotics·2024
Same author

Development of a Visual Perception System on a Dual-Arm Mobile Robot for Human-Robot Interaction.

Sensors (Basel, Switzerland)·2022
Same author

Development and Psychometric Testing of a Taiwanese Team Interactions and Team Creativity Instrument (TITC-T) for Nursing Students.

International journal of environmental research and public health·2022
Same author

The relationship of personal competencies, social adaptation, and job adaptation on job satisfaction.

Nurse education today·2019
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章
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

相关实验视频

Updated: Jul 13, 2025

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children &#8211; Working Memory (CABC-WM)
09:05

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)

Published on: June 12, 2017

29.7K

基于模糊支向量回归的工作记忆能力评估.

Jia-Hsun Lo1, Han-Pang Huang1, Su-Ching Sung2

  • 1Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
概括
此摘要是机器生成的。

这项研究使用脑电图 (EEG) 来分析工作记忆. 研究人员开发了一个模型,从EEG信号中预测工作记忆能力,提供对认知功能的洞察.

关键词:
这是一个EEGEEGEEGEEGEEGEEGEEG.认知 认知 认知一个模糊的SVR.工作记忆 工作记忆

更多相关视频

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

4.8K
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

7.6K

相关实验视频

Last Updated: Jul 13, 2025

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children &#8211; Working Memory (CABC-WM)
09:05

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)

Published on: June 12, 2017

29.7K
Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

4.8K
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

7.6K

科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 生物医学工程 生物医学工程

背景情况:

  • 工作记忆对认知功能至关重要,可以表明神经系统疾病.
  • 脑电图 (EEG) 提供了一种非侵入性方法来监测大脑活动.
  • 目前用于评估工作记忆的方法可能无法完全捕捉其神经支柱.

研究的目的:

  • 提出和验证基于电脑图 (EEG) 的方法来评估工作记忆.
  • 使用EEG信号分析开发工作记忆能力的预测模型.
  • 探索EEG信号特征与工作记忆性能之间的关系.

主要方法:

  • 从从事工作记忆任务的受试者收集了EEG数据.
  • 分析了阿尔法,β和马频段的EEG信号.
  • 使用多线性支向量回归 (SVR) 与模糊的C-平均 (FCM) 集群和基于知识的模糊支向量回归 (FSVR).

主要成果:

  • 在工作记忆任务中确定了特征性的EEG信号模式.
  • 开发了一个工作记忆模型,将EEG变化与α,β和gamma波相关联.
  • 在使用FSVR预测工作记忆能力时,达到0.6的平均平方误差.
  • 证明基于工作记忆模型的FSVR优于其他方法.

结论:

  • 脑电图分析为工作记忆过程提供了宝贵的见解.
  • 开发的FSVR模型准确地从EEG数据中预测工作记忆能力.
  • 这项研究为使用神经生理信号进行认知功能分析和预测提供了一种新的方法.