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相关概念视频

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...
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Relationship Formation

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What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
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Second-Order Circuits01:17

Second-Order Circuits

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Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
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Causality in Epidemiology

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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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Neural Circuits01:25

Neural Circuits

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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Circuit Terminology

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An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
A circuit, on the other hand, is also an interconnected system of electrical elements but must contain one or more closed paths.
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相关实验视频

Updated: Jul 1, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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高阶组件决定了超图中的高阶传染动力学.

Jung-Ho Kim1, K-I Goh1,2

  • 1Department of Physics, Korea University, Seoul 02841, Korea.

Physical review letters
|March 8, 2024
PubMed
概括

巨大的高阶组件 (HOC) 对于超图中的集体行为至关重要. 它的存在是必要的,以便更高层次的传染病从一个单一的种子传播到全球.

科学领域:

  • 复杂的系统复杂的系统.
  • 网络科学 网络科学
  • 超图形理论是超图形的理论.

背景情况:

  • 网络中的集体行为依赖于一个巨大的组件.
  • 超图具有更高阶组件 (HOC),由超边缘之间的共享节点定义.
  • 巨型HOCs在超图集体行为中的作用仍然不清楚.

研究的目的:

  • 为了调查巨型HOC对更高阶传染动态的影响.
  • 为了确定巨型HOC是否对于全球传染病的传播是必要的.

主要方法:

  • 在现实世界的超图上分析更高层次的传染动态.
  • 使用合成随机超图与可调节的巨型HOC.
  • 对巨型HOC属性的分析计算.

主要成果:

  • 巨大的HOC从根本上改变了传染病爆发模式.
  • 高级传染病的全球入侵需要巨型HOC的存在.
  • 使用合成超图模型证实了这些发现.

结论:

  • 巨大的HOC是对超图集体行为的一个关键因素.

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  • 了解巨型HOC对于模拟复杂系统中的传染和信息传播至关重要.