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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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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...
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Information Processing Approach01:30

Information Processing Approach

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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...
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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...
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Cognitivism01:17

Cognitivism

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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.
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...
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Behaviorism01:28

Behaviorism

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The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments
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预测性处理:阐明了动机行为背后的计算过程.

Lieke L F van Lieshout1, Zhaoqi Zhang1, Karl J Friston2

  • 1Donders institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlandslieke.vanlieshout@donders.ru.nl claire.zhang@donders.ru.nl harold.bekkering@donders.ru.nlhttps://www.ru.nl/en/people/lieshout-l-vanhttps://www.ru.nl/en/people/zhang-z-clairehttps://www.ru.nl/en/people/bekkering-h.

The Behavioral and brain sciences
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PubMed
概括
此摘要是机器生成的。

这项研究将预测处理与动机相结合,将预期的自由能量分解为内在 (认识系统) 和外在 (工具) 值,以解释适应性行为和环境相互作用.

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科学领域:

  • 计算神经科学是一种神经科学.
  • 认知科学 认知科学
  • 行为经济学是一种行为经济学.

背景情况:

  • 动机研究传统上侧重于驱动和奖励.
  • 预测处理为理解感知和行动提供了一个计算框架.
  • 弥合这些领域可以阐明动机行为机制.

研究的目的:

  • 将预测处理框架与动机理论相结合.
  • 通过分解预期的自由能量,以计算方式建模动机行为.
  • 探索内在和外在价值观如何指导环境相互作用.

主要方法:

  • 预期的自由能量分解为其组成价值组件.
  • 预测性处理原理应用于动机构造.
  • 适应性行为的理论建模.

主要成果:

  • 预期的自由能量可以有意义地分解为认识和工具性负担.
  • 这种分解为理解内在和外在动机提供了计算基础.
  • 该框架提供了关于个人如何适应性地与环境互动的见解.

结论:

  • 预测处理框架为理解动机提供了一个强大的镜头.
  • 将预期的自由能量分解为内在和外在的价值推进了行为计算模型.
  • 这种方法提高了我们对适应性环境参与的理解.