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関連する概念動画

Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

1.6K
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
1.6K
Cognitive Learning01:21

Cognitive Learning

1.4K
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...
1.4K
Associative Learning01:27

Associative Learning

1.5K
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...
1.5K
Purposive Learning01:22

Purposive Learning

544
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...
544
Principles of Classical Conditioning01:23

Principles of Classical Conditioning

2.5K
Classical conditioning, as described by Ivan Pavlov, is a foundational concept in associative learning, where a neutral stimulus becomes capable of eliciting a conditioned response through association with an unconditioned stimulus. The process of acquisition, where this learning occurs, and the subsequent phenomena of contiguity, contingency, generalization, discrimination, extinction, and spontaneous recovery are crucial for a comprehensive understanding of classical conditioning.
During the...
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Classical Conditioning01:18

Classical Conditioning

2.9K
Associative learning, a core principle in behavioral psychology, involves forming connections between events and facilitating learned responses. This concept is vividly illustrated by classical conditioning, a process extensively studied by the Russian physiologist Ivan Pavlov. Pavlov's pioneering research on dogs' digestive systems led to the discovery that behaviors can be learned through association, laying the groundwork for classical conditioning.
Ivan Pavlov observed that dogs...
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関連する実験動画

Updated: Feb 24, 2026

Operant Procedures for Assessing Behavioral Flexibility in Rats
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応答-応答の偶発性学習の根底にある源泉

Klaus Rothermund1, Anna Martini1, Philipp Sprengholz2

  • 1Friedrich Schiller University Jena, Jena, Germany.

Journal of cognition
|February 23, 2026
PubMed
まとめ

この研究は、人々が課題において応答シーケンス(応答-応答の偶発性学習)を学習することを示す。この学習は、認識がなくても、一部は意識的で、一部は自動的である。

科学分野:

  • 認知心理学
  • 神経科学
  • 人間の行動

背景:

  • 偶発性学習は行動を適応させるために重要である。
  • 応答シーケンスがどのように学習されるかを理解することは、認知モデルに情報を提供する。
  • 以前の研究はより単純な関連性に焦点を当てており、シーケンス学習はあまり理解されていなかった。

研究 の 目的:

  • シリアル反応時間課題(SRT)における応答-応答の偶発性学習(RR-CL)を調査すること。
  • エピソード検索と真のRR-CLを区別すること。
  • RR-CLにおける偶発性の認識の役割を探求すること。

主な方法:

  • シリアル反応時間課題を使用した40人の参加者による登録済みの研究。
  • 応答シーケンスの偶発性を生成するために遷移確率を操作した。
  • 応答時間と偶発性の認識を測定した。

主要な成果:

  • 堅牢なRR-CL効果が観察され、可能性の高いシーケンスに対する応答が速くなった。
  • エピソード検索はRR-CLを部分的に説明したが、真の効果は残った。
  • 残差RR-CLは偶発性の認識と関連していたが、それなしでも発生した。
キーワード:
偶発性学習行動シーケンス偶発性の認識エピソード的な応答検索習慣暗黙的学習最近性の法則命題的知識応答-応答結合シリアル反応時間課題(SRTT)

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Investigating the Neural Mechanisms of Aware and Unaware Fear Memory with fMRI

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A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

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関連する実験動画

Last Updated: Feb 24, 2026

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08:30

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Investigating the Neural Mechanisms of Aware and Unaware Fear Memory with fMRI
12:51

Investigating the Neural Mechanisms of Aware and Unaware Fear Memory with fMRI

Published on: October 6, 2011

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A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
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A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

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結論:

  • 応答シーケンス学習には、意識的(命題的)および自動的なプロセスが含まれる。
  • 真のRR-CLは、意識的な認識の外で機能することができる。
  • 発見は、暗黙的および明示的な学習メカニズムの理解に貢献する。