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相关概念视频

Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Signal Flow Graphs01:18

Signal Flow Graphs

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Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
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Modeling in Therapy01:26

Modeling in Therapy

39
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Echo01:06

Echo

481
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
481
State Space Representation01:27

State Space Representation

157
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
157
Hindsight Biases01:12

Hindsight Biases

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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相关实验视频

Updated: May 21, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

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在签名网络中建模回声室效应.

Antoine Vendeville1,2,3, Fernando Diaz-Diaz4

  • 1médialab, Sciences Po, 75007 Paris, France.

Physical review. E
|March 19, 2025
PubMed
概括
此摘要是机器生成的。

由于结构的两极分化,社交网络中的回声室可以形成,即使在有对立群体之间的敌对互动的网络中. 这项研究揭示了极化和回声室形成之间的复杂关系.

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

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相关实验视频

Last Updated: May 21, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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科学领域:

  • 社交网络分析分析
  • 计算社会科学 计算社会科学
  • 信息的传播和传播.

背景情况:

  • 回声室通常与志同道合的互动有关.
  • 反对群体之间的敌对互动也起到了作用.
  • 由结构平衡定义的极化是理解回声室的关键.

研究的目的:

  • 在签名网络中调查极化在回声室形成中的作用.
  • 调整信息传播模型以包括负边.
  • 分析对抗性的联系如何影响信息框架.

主要方法:

  • 为已签名网络推广的独立级联和线性值模型.
  • 模拟包括负边的模拟,以建模信息传播.
  • 在平衡和反平衡的网络结构中分析回声室的出现.

主要成果:

  • 在结构平衡的网络中,回声室自发地出现.
  • 在特定条件下,反平衡网络中也可以形成回声室.
  • 结构极化和回声室表现出一种复杂的,非线性关系.

结论:

  • 反响室不仅仅依赖于志同道合的互动.
  • 极化在回声室形成中的作用是微妙的,可能与直觉相反.
  • 这些发现适用于各种网络拓和传染模型.