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相关概念视频

Nonconscious Mimicry01:13

Nonconscious Mimicry

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Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
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Concepts and Prototypes01:24

Concepts and Prototypes

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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,...
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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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.
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Stereotype Content Model02:16

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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相关实验视频

Updated: Jun 20, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
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Published on: February 8, 2019

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通过对比的语言图像预训练,可以很好地预测有关可操纵对象的细粒度知识.

Jon Walbrin1,2, Nikita Sossounov1,2, Morteza Mahdiani3

  • 1Proaction Laboratory, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.

iScience
|July 23, 2024
PubMed
概括

深度学习模型,特别是CLIP-ViT,可以通过从图像文本数据中学习行为维度来接近人类对象识别. 这种多式联网在理解细粒度对象知识方面优于仅图像模型.

关键词:
行为神经科学 行为神经科学心理学 心理学 心理学社会科学 社会科学 社会科学

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相关实验视频

Last Updated: Jun 20, 2025

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科学领域:

  • 认知科学 认知科学
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 对象识别包括区分相似的项目,对于工具选择等任务至关重要.
  • 人类对象知识是由行为维度组织的:视觉,操纵和功能.
  • 调查深度学习是否可以复制这些以人为中心的对象属性是必不可少的.

研究的目的:

  • 确定深度学习模型是否可以近似人类对象知识的细粒度行为维度.
  • 在预测这些维度时,比较多式联网与仅图像网络的性能.

主要方法:

  • 使用了CLIP-ViT,这是一个在广泛的图像-文本对上训练的多式联网.
  • 评估模型预测与对象操纵和功能相关的行为维度的能力.
  • 将CLIP-ViT与其他在仅图像数据集上预先训练的网络进行比较.

主要成果:

  • 对象知识的行为维度通常由CLIP-ViT预测得很好.
  • 与仅在图像上训练的网络相比,CLIP-ViT表现出更高的性能.
  • 这些发现凸显了该模型在接近细微对象理解方面的能力.

结论:

  • CLIP-ViT有效地接近细粒度的对象知识,展示了多模式学习的力量.
  • 多模式预训练和大规模数据集显著有利于模型捕捉行为维度的能力.
  • 这项研究将认知科学和人工智能联系起来,为人工物体识别能力提供了洞察力.