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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.2K
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...
2.2K
Cognitivism01:17

Cognitivism

2.7K
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...
2.7K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
204
Cognitive Learning01:21

Cognitive Learning

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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...
990
Information Processing Approach01:30

Information Processing Approach

500
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...
500
Cognition and Behavior01:23

Cognition and Behavior

291
Social psychology examines the complex interplay between individual mental processes and social interactions. Historically, the field was divided into two domains: social behavior and social cognition. Researchers focusing on social behavior analyzed actions within social contexts, such as conformity, aggression, or cooperation. Meanwhile, social cognition researchers investigated how people perceive, interpret, and mentally represent their social environments. However, modern perspectives no...
291

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相关实验视频

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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自然和人工系统中认知过程的预测编码.

Joseph B Hopfinger1, Scott D Slotnick2

  • 1Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, USA.

Cognitive neuroscience
|November 17, 2025
PubMed
概括

人工智能 (AI) 模型越来越多地反映了人类的认知过程,为感知,语言和注意力提供了新的见解. 这个特别号探讨了人工智能.

科学领域:

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

背景情况:

  • 人类认知机制在人工智能 (AI) 模型中的实例化越来越感兴趣.
  • 人工智能模型正在结合类似于人类记忆和注意力的机制.
  • 预测编码理论和生成模型在解释视觉感知和语言生成方面表现有前途.

研究的目的:

  • 在人工智能和认知神经科学的交叉点提出新的数据,模型和争议.
  • 探索人工智能架构 (如变压器) 如何使用类似注意力的机制来处理序列数据.
  • 引入一个神经计算的语法模型,将预测过程集成到一个层次结构中.

主要方法:

  • 审查和讨论新型人工智能模型及其与人类认知的关系.
  • 探索变压器架构及其非马科夫的生成模型.
  • 对语法处理的多层次,层次的神经计算模型的介绍.
  • 实证研究听觉感知和可预测性在认知处理中的作用.

主要成果:

  • 变压器架构利用非马科夫的生成模型,对顺序数据进行关键注意力类似的过程.
  • 一个新的神经计算模型将预测过程集成到一个层次的语法架构中.
关键词:
注意力 注意力 注意力 注意力自动回归的自动回归.时间深处的深.语法 语法 是一个词.这是一个层次结构.语言语言语言语言语言语言.记忆 记忆 记忆 记忆 记忆预测 预测 预测 预测语法 语法 语法 语法 语法 语法变压器 变压器

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  • 可预测的分散注意力的信息在听觉感知过程中需要较少的认知处理.
  • 结论:

    • 人工智能模型为理解人类认知和神经过程提供了强大的工具.
    • 人工智能的快速进化有望在人工学习系统和大脑理论方面取得重大未来发展.
    • 结合人工智能和认知神经科学的跨学科研究对于推进我们对大脑的理解至关重要.