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相关概念视频

Cable Subjected to Its Own Weight01:13

Cable Subjected to Its Own Weight

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Overhead power transmission lines rely on cables to carry electricity across large distances. To ensure the stability and functionality of these lines, it is crucial to understand the shape and tension experienced by the cables under the influence of their weight.
A generalized loading function is employed to analyze a cable subjected to its own weight. This function considers the force acting along the cable's arc length rather than its projected length, providing a more accurate...
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Probability Laws01:49

Probability Laws

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Overview
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Probability Distributions01:32

Probability Distributions

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 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
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Probability in Statistics01:14

Probability in Statistics

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Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
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Probability Histograms01:17

Probability Histograms

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A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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相关实验视频

Updated: Feb 10, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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基本经济主观价值的完整多巴胺编码:实用性和加权概率.

Simone Ferrari-Toniolo1, Leo Chi U Seak1, Wolfram Schultz1

  • 1Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.

Cell reports
|February 8, 2026
PubMed
概括

子中的多巴胺神经元通过整合实用性和加权概率来表示主观奖励价值,反映动物的选择. 这揭示了大脑如何从主观概率等核心组件计算值.

科学领域:

  • 神经科学是一个神经科学.
  • 决策科学 决策科学 决策科学
  • 行为经济学是一种行为经济学.

背景情况:

  • 行为经济学假设主观奖励价值整合了实用性和加权概率.
  • 这种主观价值计算的神经元基础在很大程度上是未知的.

研究的目的:

  • 调查多巴胺神经元信号是否代表主观奖励价值.
  • 确定这些信号是否整合了实用性和加权概率.

主要方法:

  • 在基于奖励的选择过程中记录了子群体水平的多巴胺神经元活动.
  • 分析了多巴胺信号与实用性和加权概率组件的关系.

主要成果:

  • 多巴胺信号可靠地代表了综合的主观价值,匹配了动物的选择行为.
  • 主观加权的概率对主观价值的多巴胺信号有显著的贡献.

结论:

  • 多巴胺神经元通过整合实用性和加权概率来实现主观价值计算.
  • 证明了神经元对代理人如何评估不确定的奖励的基础.
关键词:
科普:神经科学是什么意思选择 选择 选择 选择多巴胺是多巴胺的一种.经济公理经济公理奖励 奖励 奖励 奖励 奖励公用事业公用事业公司权衡的概率概率.

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