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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

474
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...
474
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...
1.4K
Neuroplasticity01:01

Neuroplasticity

329
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
329

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相关实验视频

Updated: Jun 26, 2025

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex
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在计算认知神经科学中的模型美德.

Saskia Heijnen1, Jan Sleutels1, Roy de Kleijn1

  • 1Leiden University.

Journal of cognitive neuroscience
|May 13, 2024
PubMed
概括

在认知神经科学中缺乏评估计算模型的标准,通过确定六个关键的"模型美德"来解决这个问题. 这些优点,包括经验准确性和可信性,是相互关联的,对建模者来说是取决于背景的.

科学领域:

  • 认知神经科学 认知神经科学
  • 计算机建模 计算建模

背景情况:

  • 计算模型在认知神经科学中非常丰富.
  • 缺乏评估这些模型的明确框架.
  • 本研究探讨了评估模型质量的标准的需要.

研究的目的:

  • 识别和检查计算模型的可取性质 (优点).
  • 研究这些美德之间的相互关系.
  • 为评估认知控制中的计算模型提供一个框架.

主要方法:

  • 专注于认知控制领域.
  • 确定了六个关键的模型优点:经验准确性,经验范围,功能分析,因果细节,生物可信性和心理可信性.
  • 分析了已发表的Stroop建模工作,并与专家建模师进行了定性采访.

主要成果:

  • 模范美德是相互关联的.
  • 每个美德的感知价值取决于建模者的具体目标.
  • 这些相互依赖和目标依赖往往没有在文献中明确说明.

结论:

  • 研究人员应该更明确地说明他们的建模选择及其理由.

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  • 鉴定的优点为更严格的评估框架提供了一个起点.
  • 这些发现旨在刺激对认知神经科学中模型评估的讨论.