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

469
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...
469
Cognitivism01:17

Cognitivism

1.4K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
1.4K
Information Processing Approach01:30

Information Processing Approach

33
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
33
Cognitive Learning01:21

Cognitive Learning

237
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...
237
Concepts and Prototypes01:24

Concepts and Prototypes

137
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
137
Reason and Intuition01:37

Reason and Intuition

6.4K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.4K

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

From barriers to benefits: A personalized sleep intervention enhances sleep duration and emotional health in chronic short sleepers.

British journal of psychology (London, England : 1953)·2026
Same author

The effect of mask use on cross-race face perception: a simultaneous EEG and eye-tracking study.

Cognitive research: principles and implications·2026
Same author

Comparability between AI and human cognition and its role in psychological research and AI ethics.

British journal of psychology (London, England : 1953)·2026
Same author

Measuring the semantic priming effect across many languages.

Nature human behaviour·2025
Same author

Impact of mask use on facial emotion recognition in individuals with subclinical social anxiety: an eye-tracking study.

Cognitive research: principles and implications·2025
Same author

Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding.

NPJ science of learning·2025
Same journal

An Introduction to Rational Constructivism in Cognitive Development.

Topics in cognitive science·2026
Same journal

Fungal Memory and Minimal Cognition.

Topics in cognitive science·2026
Same journal

Limits to Language Prediction: Findings From Diverse Populations.

Topics in cognitive science·2026
Same journal

There Is More Than Meets the Eye: The Dual Role of Perception in Shaping Color Lexicons.

Topics in cognitive science·2026
Same journal

Inference and Imagination.

Topics in cognitive science·2026
Same journal

Gesture Use Across Different Concepts: Focusing on Cross-Linguistic Diversity.

Topics in cognitive science·2026
查看所有相关文章

相关实验视频

Updated: Jun 25, 2025

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

1.9K

通过计算建模理解人类认知

Janet Hui-Wen Hsiao1

  • 1Division of Social Science, Hong Kong University of Science and Technology.

Topics in cognitive science
|May 23, 2024
PubMed
概括
此摘要是机器生成的。

计算建模增强了对人类认知,视觉感知和注意力策略的理解. 新的方法揭示了对学习和人类-AI互动的洞察力,推进了认知科学和人工智能.

关键词:
计算建模计算建模深度神经网络是一个神经网络.可解释的人工智能眼球运动 眼球运动隐藏的马尔科夫模型人类学习 人类学习机器学习是机器学习.心理语言学 心理语言学视觉认知 视觉认知

更多相关视频

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

相关实验视频

Last Updated: Jun 25, 2025

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

1.9K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

科学领域:

  • 认知科学 认知科学
  • 计算神经科学是一种神经科学.
  • 人工智能的人工智能

背景情况:

  • 了解思想需要检查代表性和计算能力.
  • 计算建模对于解释和预测人类行为和心理现象至关重要.

研究的目的:

  • 使用计算建模研究学习和视觉认知中的信息处理.
  • 通过行为实验和认知神经科学,检查感知表征和注意力策略.

主要方法:

  • 利用神经网络模型研究视觉系统架构对认知和专业知识的影响.
  • 开发了使用隐藏马尔科夫模型 (HMM) 进行眼动分析,以量化眼动模式.
  • 集成深度神经网络 (DNN) 与HMM (DNN+HMM) 进行模拟眼动策略学习.

主要成果:

  • 神经网络揭示了视觉系统架构和专业知识如何塑造感知表征.
  • 使用HMM的眼动分析提供了新的,跨学科的注意力发现,这些发现与传统方法并无关.
  • DNN+HMM成功地解释了视觉认知中的眼动策略学习.

结论:

  • 计算机建模对于人类思想及其相互作用的理论解释至关重要.
  • 这些发现提升了对人类学习,视觉认知和注意力的理解.
  • 研究促进了人工智能与人类认知的可比性,增强了人与人工智能的互动和可解释性.