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相关概念视频

Classical Conditioning01:18

Classical Conditioning

586
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...
586
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

648
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...
648
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

480
Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
480
Principles of Classical Conditioning01:23

Principles of Classical Conditioning

753
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...
753
Classical Conditioning in Daily Life01:17

Classical Conditioning in Daily Life

866
Classical conditioning, a fundamental principle of associative learning, explains various phenomena observed in daily life, such as fear development, the placebo effect, taste aversion, and drug habituation. These applications demonstrate the profound impact of associative learning on human behavior and physiological responses.
John B. Watson and Rosalie Rayner famously demonstrated the development of fear through classical conditioning in their experiment with Little Albert. They paired the...
866
Physiological Theories: Cannon-Bard Theory of Emotion01:22

Physiological Theories: Cannon-Bard Theory of Emotion

651
The Cannon-Bard theory of emotion, proposed by Walter Cannon and Philip Bard, challenges the notion that emotions are solely the result of physiological responses. Instead, this theory suggests that emotional experiences and physiological arousal occur simultaneously but operate through independent mechanisms. This dual response is initiated by the brain, specifically by the thalamus, which plays a critical role in processing sensory information.
Upon perceiving a stimulus, such as a dangerous...
651

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Clinical Practice Protocol of Creative Music Therapy for Preterm Infants and Their Parents in the Neonatal Intensive Care Unit
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AffectMachine-Classical:一种用于产生情感古典音乐的新系统.

Kat R Agres1,2, Adyasha Dash1, Phoebe Chua3

  • 1Yong Siew Toh Conservatory of Music, National University of Singapore, Singapore, Singapore.

Frontiers in psychology
|June 22, 2023
PubMed
概括
此摘要是机器生成的。

这项研究介绍了AffectMachine-Classical,这是一款用于生物反系统的实时情感音乐生成器. 该系统有效地传达情绪,帮助用户实时进行情绪自我调节,以提高幸福感.

关键词:
有影响力的计算.算法组成的算法组成.自动音乐生成系统自动音乐生成系统情绪调节 情绪调节听众验证研究的研究.音乐 医学 科技 音乐

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科学领域:

  • 计算音乐学的音乐学.
  • 情感计算是一种情感计算.
  • 人与计算机的互动.

背景情况:

  • 生物反系统旨在增强自我意识和调节生理和情绪状态.
  • 基于音乐的干预越来越多地被用于治疗和健康应用.
  • 实时情感音乐生成为动态情感支持提供了一种新的方法.

研究的目的:

  • 介绍AffectMachine-Classical,这是一个用于实时产生情感古典音乐的新系统.
  • 描述AffectMachine系统的基于规则的概率架构.
  • 通过听众研究验证系统在传达目标情绪方面的有效性.

主要方法:

  • 开发了一个基于规则的,概率的音乐生成系统 (AffectMachine-Classical).
  • 设计了集成到生物反和脑计算机接口应用程序的系统.
  • 进行了一个听众研究,以评估系统传达目标情绪的能力.

主要成果:

  • 影响机器 - 经典在传递唤醒水平方面表现出高效率 (R2 = 0.96).
  • 该系统在 Valence (R2 = 0.90) 中取得了显著的成功.
  • 听众研究结果验证了系统可靠的情感沟通能力.

结论:

  • AffectMachine-Classical是用于实时产生情感音乐的经过验证的工具.
  • 该系统显示了基于音乐的MedTech应用在情绪自我调节方面的前景.
  • 未来将其整合到生物反系统中,旨在利用情感音乐促进情感健康.