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相关概念视频

Cognitive Learning01:21

Cognitive Learning

219
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...
219
Mnemonic Devices01:23

Mnemonic Devices

58
Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
58
Purposive Learning01:22

Purposive Learning

97
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
97
Problem-Solving01:29

Problem-Solving

130
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
130
Observational Learning01:12

Observational Learning

126
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
126
Chunking01:12

Chunking

56
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...
56

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相关实验视频

Updated: Jun 1, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
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个人特定的策略为类别学习提供信息.

Jared S Collina1, Gozde Erdil2, Mingyi Xia3

  • 1Department of Neuroscience, University of Pennsylvania, Philadelphia, PA.

bioRxiv : the preprint server for biology
|January 20, 2025
PubMed
概括

个体学习策略显著影响动物如何分类感官信息. 鼠标研究表明,持续的选择行为,如重复的反应,随着时间的推移塑造了学习的类别界限.

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Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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相关实验视频

Last Updated: Jun 1, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
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Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

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Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 动物行为 动物行为

背景情况:

  • 分类对于感官感知至关重要,使刺激能够被赋予学习的标签.
  • 在类别学习策略和由此产生的类别界限方面存在个体差异.
  • 学习轨迹与最终分类之间的关系尚不清楚.

研究的目的:

  • 研究个体学习策略如何影响小鼠的学习分类.
  • 量化使用策略的时间进程及其与分类界限的关系.

主要方法:

  • 训练小鼠进行听觉分类任务,使用两种替代性强制选择范式.
  • 学习轨迹和选择偏差在几周内被监测.
  • 分析了选择偏差漂移和类别边界变化之间的相关性.

主要成果:

  • 小鼠表现出多样化的学习轨迹和不断演变的选择偏见.
  • 漂移选择偏差与模两可的刺激类别边界变化相关.
  • 倾向于重复选择 (坚持) 与长期学习有关.

结论:

  • 个人特定的学习策略,特别是坚持,在塑造学习类别边界方面发挥着重要作用.
  • 了解这些策略可以了解类别学习的机制.