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Cognitive Learning01:21

Cognitive Learning

970
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...
970
Behaviorism01:28

Behaviorism

4.2K
The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...
4.2K
Neuroplasticity01:01

Neuroplasticity

1.5K
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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Steps in the Modeling Process01:14

Steps in the Modeling Process

597
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
597
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

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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...
1.2K
Cognitivism01:17

Cognitivism

2.6K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
2.6K

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Updated: Jan 8, 2026

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

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神经反,生物反和基本学习理论:重新审视2011年概念框架

Cynthia Kerson1,2, Leslie H Sherlin3,4, Eddy J Davelaar5

  • 1Applied Psychophysiology Program, Saybrook University, Pasadena, CA, USA. ckerson@saybrook.edu.

Applied psychophysiology and biofeedback
|December 16, 2025
PubMed
概括
此摘要是机器生成的。

这项研究扩展了神经反和生物反学习原则,包括强化计划,神经化学和客户-临床医生的作用,以加强实践和研究.

关键词:
生物反的回应经典的调节,就是古典的调节.计算建模计算建模学习理论学习理论神经反的反是可以做到的.操作者调节的条件.

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科学领域:

  • 心理学 心理学 心理学
  • 神经科学是一个神经科学.
  • 行为科学 行为科学

背景情况:

  • 2011年的论文"神经反和基本学习理论"探讨了神经反中的操作条件.
  • 目前的理解需要扩展,包括生物反和高级学习原则.

研究的目的:

  • 更新和扩展2011年关于神经反和生物反中学习机制的概述.
  • 将强化学习,心理生理学和安慰剂效应的最新进展纳入其中.
  • 强调客户与临床医生的互动在学习成功中的作用.

主要方法:

  • 文献综述和理论扩展.
  • 整合了从操作条件,强化学习和心理生理学的概念.
  • 对安慰剂效应和客户-临床医生动态的分析.

主要成果:

  • 详细检查生物反中的随机增强计划.
  • 探索强化学习背后的神经化学.
  • 在心理生理学学习中讨论新理论.
  • 强调治疗联盟对治疗疗效的重要性.

结论:

  • 神经反和生物反是复杂的学习模式.
  • 了解高级学习原则对于优化研究和临床实践至关重要.
  • 客户与临床医生的关系是成功学习和治疗结果的关键因素.