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

Neuron Structure01:31

Neuron Structure

225.4K
Overview
225.4K
Neural Circuits01:25

Neural Circuits

1.6K
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...
1.6K
Neurons: The Axon01:21

Neurons: The Axon

4.6K
Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment....
4.6K
Types Of Transformers01:16

Types Of Transformers

1.1K
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
1.1K
Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

495
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
495
Neurons: The Cell Body and the Dendrites01:23

Neurons: The Cell Body and the Dendrites

3.9K
A typical nerve cell comprises three main components: the cell body, dendrites, and the axon. The cell body, also known as the soma or perikaryon, serves as the central biosynthetic hub housing a nucleus surrounded by cytoplasm containing organelles commonly found in most cells. Notably, Nissl bodies, clusters of the rough endoplasmic reticulum and free ribosomes responsible for protein synthesis, are distinctive features of the neuronal cell body. As neurons age, aggregates of a brown pigment...
3.9K

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

Risk factors and outcomes of Pneumocystis jirovecii pneumonia after allogeneic hematopoietic stem cell transplantation for hematological malignancy: A 10-year cohort study.

Transplantation and cellular therapy·2026
Same author

Non-targeted authentication of camellia oil using gas chromatography-ion mobility spectrometry and one-class chemometrics.

Analytical and bioanalytical chemistry·2026
Same author

Polymer-Assisted Controllable Growth of Large-Scale and High-Quality Two-Dimensional Perovskite Single-Crystal Microplate Arrays toward Photodetector Integration.

ACS nano·2026
Same author

Interpretable survival modeling integrating nutritional-inflammatory biomarkers in elderly patients with locally advanced esophageal squamous cell carcinoma treated with definitive radiotherapy.

Frontiers in immunology·2026
Same author

Research on a highly sensitive aptamer sensor for <i>Vibrio alginolyticus</i> based on CRISPR-Cas13a and T7 transcription cascade amplification.

Analytical methods : advancing methods and applications·2026
Same author

Impact of Concurrent Graft-versus-Host Disease on Long-Term Survival in Critically Ill Patients Following Allogeneic Hematopoietic Stem Cell Transplantation for Hematological Malignancies.

Transplantation and cellular therapy·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026
Same journal

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
查看所有相关文章

相关实验视频

Updated: Sep 15, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.1K

自主监督的神经元形态表示与图形变压器.

Pengpeng Sheng, Gangming Zhao, Tingting Han

    IEEE transactions on medical imaging
    |July 18, 2025
    PubMed
    概括
    此摘要是机器生成的。

    SGTMorph是一个新的图形变换器框架,通过整合图形神经网络和变换器,准确地表示复杂的神经元形态. 这种方法增强了神经元的分类和预测功能性质,推进了神经科学研究.

    更多相关视频

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
    04:23

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

    Published on: April 21, 2023

    2.0K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    527

    相关实验视频

    Last Updated: Sep 15, 2025

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    7.1K
    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
    04:23

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

    Published on: April 21, 2023

    2.0K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    527

    科学领域:

    • 神经科学是一个神经科学.
    • 计算生物学 计算生物学
    • 机器学习 机器学习

    背景情况:

    • 神经元形态表示对于大脑功能研究至关重要,但受到复杂的类内变异的挑战.
    • 现有的方法难以平衡不同神经元结构的稳定性和辨别力.

    研究的目的:

    • 开发一种强大而全面的神经元形态表征方法.
    • 改善神经元分类,检索和功能性质预测.

    主要方法:

    • 提出了SGTMorph,这是一个混合图形变压器框架,结合了图形神经网络和变压器.
    • 包含基于随机步行的位置编码和空间不变的编码机制.
    • 利用基于几何和拓相似性的自我监督训练策略.

    主要成果:

    • 在5个数据集中,SGTMorph在神经元形态分类和检索方面表现出卓越的性能.
    • 准确预测功能性质,包括 soma 层分布和轴突投射模式.
    • 该框架有效地用生物忠实性编码神经元结构信息.

    结论:

    • SGTMorph为神经元形态表示提供了强大而适应性的解决方案.
    • 该方法通过实现无标签的特征学习和功能预测来推进计算神经科学.
    • 公共可用的代码有助于在神经科学研究中更广泛地采用.