Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Typical Model Studies01:30

Typical Model Studies

340
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
340
Modeling and Similitude01:12

Modeling and Similitude

245
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
245
Models, Theories, and Laws01:16

Models, Theories, and Laws

5.2K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
5.2K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

40
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...
40
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

439
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
439

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The neuroscience education readiness checklist for digital tools and methods.

Frontiers in computational neuroscience·2026
Same author

Learning Dynamics in Biophysical Spiking Network Models Are Shaped by KCC2/NKCC1 Cotransporter Stoichiometry.

The European journal of neuroscience·2026
Same author

A next generation neural mass model with neuromodulation.

Journal of computational neuroscience·2026
Same author

Computational modeling of the temporal influences between cues, craving and use in addiction: a dynamical system analysis based on ecological momentary assessment data.

Translational psychiatry·2025
Same author

Modeling the Influence of Circadian Rhythm on Ionic Dynamics and the Effect of Antiepileptic Drugs.

The European journal of neuroscience·2025
Same author

The artisan, the anthropologist, and the cartographer: The usefulness of digital twins and digital shadows for clinical psychiatry.

L'Encephale·2025

相关实验视频

Updated: Jun 4, 2025

3D Printing of Biomolecular Models for Research and Pedagogy
09:17

3D Printing of Biomolecular Models for Research and Pedagogy

Published on: March 13, 2017

23.7K

你会发布不现实的模型吗?

Damien Depannemaecker1

  • 1Inst Neurosci Syst, INSERM, INS, Aix Marseille University, Marseille, France. damien.depannemaecker@univ-amu.fr.

Biological cybernetics
|December 31, 2024
PubMed
概括

许多大脑模型被称为"现实",但这个术语可能会误导. 这篇文章阐明了理论神经科学研究中的模型特征.

科学领域:

  • 理论神经科学理论神经科学
  • 计算神经科学是一种计算神经科学.
  • 对大脑功能进行数学建模.

背景情况:

  • 理论神经科学界开发了各种模型来表示大脑活动和功能.
  • 一些模型被标记为"现实",通常是由于对变量和参数使用生物物理单位,尽管这不是普遍的标准.

研究的目的:

  • 批判性地评估理论神经科学中常见的术语"现实模型"的使用情况.
  • 提出一个框架,以更精确地描述计算大脑模型.

主要方法:

  • 在神经科学文献中对模型术语的概念分析.
  • 讨论用于分类和描述计算模型的标准.
  • 确定术语"现实"中的潜在模两可.

主要成果:

  • 在理论神经科学的背景下",现实模型"的标签可能是模两可的,可能是误导性的.
  • 需要一个明确的定义或一组标准来准确地描述模型属性.
  • 仅仅是生物物理单位并不能保证模型的"现实性"或适用性.

结论:

  • "现实模型"一词需要在理论神经科学中仔细考虑和精确定义.

更多相关视频

Computer-Generated Animal Model Stimuli
26:43

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

10.9K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

699

相关实验视频

Last Updated: Jun 4, 2025

3D Printing of Biomolecular Models for Research and Pedagogy
09:17

3D Printing of Biomolecular Models for Research and Pedagogy

Published on: March 13, 2017

23.7K
Computer-Generated Animal Model Stimuli
26:43

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

10.9K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

699
  • 为了清晰的科学沟通,需要对模型表征采取更细微的方法.
  • 为模型表征提出元素可以增强对不同大脑模型的理解和比较.