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Cognitive Learning01:21

Cognitive Learning

1.6K
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...
1.6K
Neuroplasticity01:01

Neuroplasticity

2.5K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Associative Learning01:27

Associative Learning

2.1K
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...
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Observational Learning01:12

Observational Learning

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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...
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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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学習に対する神経的制約

Patrick T Sadtler1, Kristin M Quick1, Matthew D Golub2

  • 11] Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA [2] Center for the Neural Basis of Cognition, Pittsburgh, Pennsylvania 15213, USA [3] Systems Neuroscience Institute, University of Pittsburgh, Pittsburgh Pennsylvania 15261, USA.

Nature
|August 29, 2014
PubMed
まとめ
この要約は機械生成です。

神経ネットワークには,学習を形作る固有の構造があります. 猿は,神経活動が脳と一致したときに,より簡単に学習することができました.

さらに関連する動画

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

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関連する実験動画

Last Updated: Apr 25, 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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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
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Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

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科学分野:

  • 神経科学は神経科学である.
  • 計算神経科学とは
  • モーター・コントロール・コントロール

背景:

  • 新しいスキル,運動,感覚,または認知の学習は,ニューラルネットワークが新しい活動パターンを生成することを含む.
  • いくつかの行動の学習の容易さは,特定の神経活動パターンが他のものよりも生成されやすく,ネットワークの制約が原因である可能性があることを示唆しています.

研究 の 目的:

  • 既存のニューラルネットワーク構造が新しいニューラル活動パターンの生成を制限するかどうかを調査する.
  • これらの制約と学習への影響を規定する原則を特定する.

主な方法:

  • Rhesus macaquesで閉ループの脳内脳コンピュータインターフェース (BCI) 学習パラダイムを利用した.
  • 猿は,プライマリモーター皮質のニューラル活動を調節することによって,コンピュータのカーソルを制御し,BCIによって操作されたニューラル活動-カーソル速度マッピングで,BCIによって操作されました.

主要な成果:

  • 神経集団の活動は,ネットワーク回路の制約を反映した,内在多様体と呼ばれる低次元のサブスペース内に自然に存在する.
  • 猿は,内在多様体内の神経活動を使用してカーソル制御を容易に学びました.
  • 内在多様体以外の神経活動パターンを利用しようとすると,学習が著しく損なわれた.

結論:

  • 神経ネットワークの固有の構造が学習を形作り,制約する.
  • ネットワークの固有の構造と矛盾するニューラル活動パターンを生成することは,短い時間スケール (時間) で困難です.
  • これらの発見は,関連するスキルがより簡単に習得される理由について,ネットワークレベルの説明を提供します.