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相关概念视频

Working Memory01:24

Working Memory

444
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
444
Information Processing Approach01:30

Information Processing Approach

154
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...
154
Role of Cerebellum and Prefrontal Cortex in Memory01:14

Role of Cerebellum and Prefrontal Cortex in Memory

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The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
571
Interference and Decay01:16

Interference and Decay

201
Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
201
Parallel Processing01:20

Parallel Processing

225
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...
225
Associative Learning01:27

Associative Learning

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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
572

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相关实验视频

Updated: Sep 10, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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执行职能与更新预测表示之间的相互作用.

Felipe Pedraza1,2, Teodóra Vékony3, Bence C Farkas4,5,6

  • 1Laboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Bron, France.

Scientific reports
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PubMed
概括

重组习惯涉及更新预测表示. 更强大的抑制控制有助于这一过程,而语言流性可能会阻碍这一过程,这表明复杂的认知机制正在发挥作用.

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科学领域:

  • 认知神经科学 认知神经科学
  • 心理学 心理学 心理学

背景情况:

  • 习惯修改具有挑战性,统计学学习是习惯形成的基础.
  • 执行函数 (EF) 在更新概率表示中的作用尚未得到充分探索.

研究的目的:

  • 调查执行职能与概率表示的重新连接之间的关系.
  • 了解认知抑制和口语流如何影响学习模式的更新.

主要方法:

  • 一个实验涉及学习,重新布线和检索阶段.
  • 执行功能 (注意力控制,抑制,工作记忆,灵活性,口语流) 被评估.
  • 个人间差异方法检查了EF措施和知识更新.

主要成果:

  • 在重新连接和抑制之间发现了积极的相关性,表明更好的抑制控制可以促进表示更新.
  • 重组和语义流之间的负相关性表明,口头流任务可能会阻碍更新.
  • 结果与竞争性内存网络模型一致.

结论:

  • 重组概率表示是复杂的,需要认知抑制来克服主动干扰.
  • 无模型的运行对于更新隐式预测表示至关重要.
  • 执行功能显著调节修改学习模式的能力.