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関連する概念動画

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
Observational Learning01:12

Observational Learning

1.1K
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...
1.1K
Visual System01:26

Visual System

2.0K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
2.0K
Visual Agnosia01:12

Visual Agnosia

1.3K
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
1.3K
Introduction to Learning01:18

Introduction to Learning

1.3K
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
1.3K
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

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関連する実験動画

Updated: Feb 22, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

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視覚的統計的学習では,どのような種類の関係が学習されますか?

İlayda Nazlı1, Floris P de Lange2

  • 1Department of Psychology, Middle East Technical University, Ankara, Türkiye.

PloS one
|February 20, 2026
PubMed
まとめ

統計的学習は,環境の規則性を抽出する. この研究は,視覚的統計的学習が,関連を予測するための単純な条件付き確率よりも,ユニークさヒュリスティック (二重因子ヒュリスティック) を優先することを示しています.

科学分野:

  • 認知心理学とは,認知心理学である.
  • 認知と学習について

背景:

  • 統計的学習は,観察者が環境の規則性を検出することを可能にします.
  • 観察者が条件付き確率を学ぶのか,または関連のユニークさを学ぶのか,議論は存在します.

研究 の 目的:

  • 視覚的統計的学習タスクにおける学習を最もよく説明するメトリックを調査する.
  • 条件付き確率の予測力と唯一性に基づくヒューリスティックを比較する.

主な方法:

  • 2つの視覚的統計的学習実験が行われました.
  • 参加者は,操作されたアソシエーションの強さとユニークさを持つオブジェクトのシーケンスを見ました.
  • 学習は,予想された刺激と予期せぬ刺激に対する反応時間の改善によって測定されました.

主要な成果:

  • 学習の利点は,二重因子ヒューリスティック (DFH) によって最もよく予測されました.
  • DFHは,キューアウトカムとアウトカムキューの条件付き確率を共同で検討します.
  • DFHは単純な条件付き確率とΔPメトリックを上回った.

結論:

  • 視覚的統計的学習は,主に独特性ヒューリスティックによって動かされているようです.

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Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
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Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

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関連する実験動画

Last Updated: Feb 22, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Visual Classical Conditioning in Wood Ants
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Visual Classical Conditioning in Wood Ants

Published on: October 5, 2018

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Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
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Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

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  • DFHによって公式化されたこのヒューリスティックは,単純な確率メトリックよりも学習をよりよく説明します.