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相关概念视频

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Decision Making01:20

Decision Making

88
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
88
Reason and Intuition01:37

Reason and Intuition

6.4K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.4K
Convenience Sampling Method00:55

Convenience Sampling Method

8.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.6K
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

203
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
203

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相关实验视频

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Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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通过顺序抽样进行价值构建,解释了决策中的序列依赖性.

Ariel Zylberberg1, Akram Bakkour1,2,3, Daphna Shohamy1,4,5

  • 1Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.

eLife
|December 10, 2024
PubMed
概括

主观价值在决策过程中波动,影响选择和大脑活动. 这项研究引入了一个新的算法Reval来跟踪这些动态值变化,提供比静态值更好的解释.

关键词:
选择引起的偏好变化是选择引起的偏好变化.决策是做出决策的过程.漂移-扩散模型的漂移-扩散模型食物选择任务的任务.人类 人类 人类 人类 人类 人类 人类神经科学 神经科学基于价值的决策是基于价值的决策.vmPFCFC 在线观看

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Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
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相关实验视频

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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 决策科学 决策科学 决策科学

背景情况:

  • 熟悉项目之间的决定通常依赖于比较主观价值.
  • 类似的值延长了决策时间,并可能导致不一致的选择,通常归因于杂的证据积累.

研究的目的:

  • 调查是否明显的选择随机性源于动态价值波动而不是仅仅是噪声.
  • 开发和验证一种追踪主观价值实时变化的方法.

主要方法:

  • 来自零食项目选择任务的选择数据的分析.
  • 开发Reval算法以检测会话内价值波动.
  • 使用动态值建模选择行为和神经活动 (BOLD信号).

主要成果:

  • 雷瓦尔算法发现了主观项目价值的显著动态波动.
  • 这些动态值更准确地预测了参与者的选择和响应时间,而不是静态的,声明的值.
  • 动态值更好地解释了大脑活动在中腹前额叶皮层中的情况.

结论:

  • 主观价值不是静态的,而是在审议过程中动态构建的.
  • 这些价值重估影响后续决策,解释了选择的变化.
  • 这些发现支持一个带有时间相关的证据样本的受界证据积累模型.