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相关概念视频

Optimal Foraging00:48

Optimal Foraging

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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

277
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
277
Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
231
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

349
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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相关实验视频

Updated: Jan 12, 2026

Foraging Path-length Protocol for Drosophila melanogaster Larvae
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Foraging Path-length Protocol for Drosophila melanogaster Larvae

Published on: April 23, 2016

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在结构化食环境中基于模型的规划.

Thea R Zalabak1, Laura A Bustamante1, Wouter Kool1

  • 1Department of Psychological & Brain Sciences, Washington University in St. Louis, 1 Brookings Drive CB 1125, St. Louis, MO 63130, USA.

Cognition
|November 5, 2025
PubMed
概括
此摘要是机器生成的。

人类平衡寻求奖励和计划更好的奖励. 一项新的任务显示,人们在决定留下或离开时使用环境结构并考虑替代方案,特别是目标导向的个人.

关键词:
认知控制 认知控制决策 决策是做出决定的.探索 探索 探索寻找食物 寻找食物基于模型的控制控制规划 规划 计划 计划

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A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
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相关实验视频

Last Updated: Jan 12, 2026

Foraging Path-length Protocol for Drosophila melanogaster Larvae
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Foraging Path-length Protocol for Drosophila melanogaster Larvae

Published on: April 23, 2016

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Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication
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A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
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A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

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科学领域:

  • 决策和行为经济学
  • 认知心理学 认知心理学
  • 计算神经科学是一种计算神经科学.

背景情况:

  • 为了最大限度地获得奖励,需要平衡利用当前的选择和探索更好的选择.
  • 最佳食理论的边际价值定理 (MVT) 提供了一个简单的规则,用于基于预期与经验回报的停留/离开决策.
  • MVT在食决策中没有考虑环境结构或环境规划.

研究的目的:

  • 研究个人如何将环境结构和规划纳入食决策.
  • 探索人们在多大程度上使用任务结构的内部模型来选择停留/离开.
  • 检查目标导向对食战略的影响.

主要方法:

  • 开发一种新的结构化食任务.
  • 参与者停留/离开决策的行为分析.
  • 计算建模以评估结合替代选项信息的好处.

主要成果:

  • 参与者的行为通常与MVT保持一致,但包含了关于替代奖励选择的信息.
  • 考虑替代方案的倾向在目标导向的个体中更为明显.
  • 计算模型表明,使用替代信息是有益的,由选择随机性调节.

结论:

  • 这项研究引入了研究结构化环境中的决策的新范式.
  • 食决策受到即时奖励反和战略规划的影响.
  • 这些发现对理解食行为与目标导向规划之间的相互作用有影响.