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

Associative Learning01:27

Associative Learning

300
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
300
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

88
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
88
Density00:56

Density

14.6K
Density is an important characteristic of substances, crucial in determining whether an object sinks or floats in a fluid. Its SI unit is kg/m3, and its cgs unit is g/cm3. The density of an object helps in identifying its composition, and also reveals information about the phase of the matter and its substructure. The densities of liquids and solids are roughly comparable, consistent with the fact that their atoms are in close contact. However, gases have much lower densities than liquids and...
14.6K
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

111
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
111
Functional Classification of Joints01:09

Functional Classification of Joints

3.8K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
3.8K
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

7.3K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.3K

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

Hybrids of Benzenesulfonamide Oxadiazole Derivatives with Dual CA II and COX-2 Inhibitory Activity Demonstrating Antiglaucoma and Anti-inflammatory Action: Synthesis, In Silico Insights, and In Vitro and In Vivo Bioevaluation.

Journal of medicinal chemistry·2026
Same author

Engineering an Extremely Hybrid PKS for Adipic Acid Production.

ACS synthetic biology·2026
Same author

Metadensity Functional Learning for Classical Fluids: Regularizing with Pair Correlations.

The journal of physical chemistry. B·2026
Same author

Dual FLT3/MAPK14 Proteolysis-Targeting Chimera (PROTAC) Induces Potent Acute Myeloid Leukemia Cell Death.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

Dual Modality and Site-differentiated Sentinel Node Mapping in Vulvar Cancer.

Anticancer research·2026
Same author

Correction: The necessity of multi-parameter normalization in cyanobacterial research: A case study of the PsbU in Synechocystis sp. PCC 6803 using CRISPRi.

The Journal of biological chemistry·2026
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
查看所有相关文章

相关实验视频

Updated: Jun 10, 2025

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

9.8K

神经密度函数:局部学习和对相关性匹配.

Florian Sammüller1, Matthias Schmidt1

  • 1Theoretische Physik II, Physikalisches Institut, <a href="https://ror.org/0234wmv40">Universität Bayreuth</a>, 95447 Bayreuth, Germany.

Physical review. E
|October 19, 2024
PubMed
概括
此摘要是机器生成的。

神经密度函数通过局部单体相关性学习有效调整. 这种方法可以灵活建模Mermin-Evans地图,创建超出训练盒限制的准确函数.

更多相关视频

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.1K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

999

相关实验视频

Last Updated: Jun 10, 2025

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

9.8K
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.1K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

999

科学领域:

  • 计算物理 计算物理
  • 量子化学 是一个量子化学.
  • 机器学习 机器学习

背景情况:

  • 密度函数理论 (DFT) 是现代电子结构计算的基石.
  • 神经网络为开发新的密度函数提供了一个有希望的途径.
  • 现有的方法往往难以捕捉复杂的相关性效应,并将其推广到训练数据之外.

研究的目的:

  • 评估大量对应对应对训练神经密度函数的有效性.
  • 证明局部学习对不均的单体直接相关性的好处.
  • 倡导本地单体学习,以便灵活,准确地建模Mermin-Evans密度功能地图.

主要方法:

  • 使用对相关性匹配,正如迪克曼等人提出的. 用于训练神经功能.
  • 实施局部学习不均的单体直接相关性.
  • 将空间定位技术应用于神经网络架构,包括卷积神经网络.

主要成果:

  • 拟议的方法作为神经密度函数的有效调节器.
  • 当地单体学习为模拟完整的Mermin-Evans密度功能地图提供了灵活的框架.
  • 获得了精确的神经自由能量功能,能够超越训练盒进行概括.

结论:

  • 一体相关性的局部学习是开发灵活和准确的神经密度函数的优越方法.
  • 空间定位是创建超越训练数据限制的神经功能的关键.
  • 这项工作推动了电子结构理论中基于机器学习的方法的发展.