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相关概念视频

Working Memory01:24

Working Memory

160
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...
160
Encoding01:19

Encoding

165
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
165
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

206
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
206
Storage01:23

Storage

84
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
84
Information Processing Approach01:30

Information Processing Approach

34
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...
34
Chunking01:12

Chunking

99
Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking...
99

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相关实验视频

Updated: Jun 29, 2025

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)
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工作记忆中的动态编码的计算基础.

Jake P Stroud1, John Duncan2, Máté Lengyel3

  • 1Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, UK.

Trends in cognitive sciences
|April 5, 2024
PubMed
概括
此摘要是机器生成的。

工作记忆的维护可能依赖于动态的神经编码,而不仅仅是稳定的活动. 任务优化模型自然地显示了这些动态,这表明动态编码是认知功能的关键.

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Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children – Working Memory (CABC-WM)
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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科学领域:

  • 认知神经科学 认知神经科学
  • 计算神经科学是一种神经科学.

背景情况:

  • 工作记忆 (WM) 对认知至关重要.
  • 传统上,WM维护与稳定的神经活动模式有关.

研究的目的:

  • 研究工作记忆中稳定与动态神经编码的作用.
  • 解释为什么任务优化模型表现出动态编码,与经典模型不同.

主要方法:

  • 神经数据的分析.
  • 检查经典和任务优化的神经网络模型.

主要成果:

  • 在WM维护期间的神经活动在稳定之前显示动态变化.
  • 任务优化模型自然会显示动态编码,提供理论解释.
  • 经典模型本身并没有显示动态编码.

结论:

  • 动态编码是工作内存维护的一个基本计算特征.
  • 修订WM的理解,以纳入动态神经过程是必要的.