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

Neural Circuits01:25

Neural Circuits

1.5K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.5K
Neural Regulation01:37

Neural Regulation

39.9K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.9K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

149
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
149
Force Classification01:22

Force Classification

1.6K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.6K
Classification of Signals01:30

Classification of Signals

878
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
878
Classification of Systems-II01:31

Classification of Systems-II

240
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
240

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

Reply to 'Immortal time bias limits the conclusion that post-transplant hypomethylating agent maintenance improves outcomes in myelodysplastic syndromes'.

British journal of haematology·2026
Same author

Generic vs. brand-name pramipexole: effectiveness, safety, and cost comparison in a multicenter retrospective cohort study.

Frontiers in aging neuroscience·2026
Same author

Combined Electromagnetic Fields Mitigate Unloading-Induced Bone Loss by Enhancing Osteogenic Responses via Multiphysics-Induced Mechanotransduction.

Cells·2026
Same author

Post-marketing safety of lecanemab: a real-world study based on FAERS database, multicenter cohort and network pharmacology.

Frontiers in psychiatry·2026
Same author

The efficacy of brachytherapy with radioactive <sup>125</sup>I therapy in pancreatic cancer.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]·2026
Same author

Synergistic dual steric-electronic effects of bay-substituents on singlet fission in perylene diimide derivatives.

Physical chemistry chemical physics : PCCP·2026

相关实验视频

Updated: Sep 10, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K

MSARAE:用于皮层网络分类的多尺度对抗性正规化自动编码器

Yihui Zhu1, Yue Zhou2, Xiaotong Zhang1

  • 1Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province, 210096 China.

Medical image analysis
|August 27, 2025
PubMed
概括

有限的数据阻碍了大脑研究的深度学习. 一种新型的多尺度对抗规则化自编码器 (MSARAE) 有效地增加皮质连接数据,改善像主要抑郁症这样的疾病的模型性能和概括性.

关键词:
大脑皮层数据增强产生性对抗网络结构连接性变化自动编码器

更多相关视频

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
07:52

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

Published on: May 23, 2025

343
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K

相关实验视频

Last Updated: Sep 10, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K
Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
07:52

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

Published on: May 23, 2025

343
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K

科学领域:

  • 神经科学
  • 人工智能
  • 数据科学

背景情况:

  • 在大脑皮层研究中,有限的数据可用性和隐私法规带来了重大挑战.
  • 深度学习模型需要大量的训练数据以获得最佳的性能和概括性,而小的样本大小会导致过度匹配.
  • 增加数据对于提高神经科学深度学习模型的能力至关重要.

研究的目的:

  • 提出一种新的数据增强方法,即多尺度对抗规则化自编码器 (MSARAE),以解决皮层结构连接分析中的数据限制.
  • 提高深度学习模型的性能和通用性,以使用增强数据对大脑疾病进行分类.
  • 在皮层网络中增强拓和多尺度特征的捕获.

主要方法:

  • 数据预处理和皮质结构连接网络的构建.
  • 利用拉普拉斯特征向量来丰富网络中的拓信息.
  • 使用多尺度图形卷积层的变化自编码器来提取特征.
  • 实施对抗性规范化机制以最大限度地减少隐藏空间分配的差异,并提高表现能力.

主要成果:

  • 与现有方法相比,MSARAE模型在增强和分类皮质结构连接方面表现出更好的表现.
  • 对主要抑郁症 (MDD),人类结合体项目 (HCP) 和阿尔茨海默病神经影像计划 (ADNI) 数据集的实验验证实了该模型的有效性.
  • 对抗性规范化成功地将隐性表示与真实数据分布对齐,增强了模型的通用性.

结论:

  • 在脑成像研究中,MSARAE提供了一个有效的解决方案,特别是在样本规模有限的研究中.
  • 通过提高培训数据的质量和数量, 提议的方法提高了分析和分类神经和精神疾病的能力.
  • 这种方法在神经科学和临床诊断领域有很大的潜力.