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相关概念视频

Atomic Nuclei: Types of Nuclear Relaxation01:28

Atomic Nuclei: Types of Nuclear Relaxation

301
Nuclear relaxation restores the equilibrium population imbalance and can occur via spin–lattice or spin–spin mechanisms, which are first-order exponential decay processes.
In spin–lattice or longitudinal relaxation, the excited spins exchange energy with the surrounding lattice as they return to the lower energy level. Among several mechanisms that contribute to spin–lattice relaxation, magnetic dipolar interactions are significant. Here, the excited nucleus transfers...
301
Atomic Nuclei: Nuclear Relaxation Processes01:23

Atomic Nuclei: Nuclear Relaxation Processes

654
In the absence of an external magnetic field, nuclear spin states are degenerate and randomly oriented. When a magnetic field is applied, the spins begin to precess and orient themselves along (lower energy) or against (higher energy) the direction of the field. At equilibrium, a slight excess population of spins exists in the lower energy state. Because the direction of the magnetic field is fixed as the z-axis,  the precessing magnetic moments are randomly oriented around the z-axis.
654
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

9.6K
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
9.6K
Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

7.2K
The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
7.2K
Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)01:22

Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)

1.1K
Vicinal or three-bond coupling is commonly observed between protons attached to adjacent carbons. Here, nuclear spin information is primarily transferred via electron spin interactions between adjacent C‑H bond orbitals. This generally favors the antiparallel arrangement of spins, so 3J values are usually positive.
The extent of coupling depends on the C‑C bond length, the two H‑C‑C angles, any electron-withdrawing substituents, and the dihedral angle between the...
1.1K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

103
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
103

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相关实验视频

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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Modeling the Functional Network for Spatial Navigation in the Human Brain

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连接矩阵串行通过放松.

Alexander Borst1

  • 1Max-Planck-Institute for Biological Intelligence, Martinsried, Germany.

PLoS computational biology
|February 20, 2024
PubMed
概括

一个新的算法有效地重新排序神经电路矩阵,以便更好地分析. 这种光滑索引方法提高了大脑连接组数据集的性能和计算扩展.

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
  • 数据科学数据科学数据科学

背景情况:

  • 从电子显微镜进行大规模的神经电路重建,产生复杂的连接矩阵.
  • 分析这些矩阵对于理解大脑计算和识别电路图案,如细胞组件和反循环至关重要.
  • 目前的矩阵重新排序算法在大型数据集的可扩展性和计算效率方面扎.

研究的目的:

  • 开发和评估一种用于重新排序神经连接矩阵的新型算法.
  • 为了提高大脑连接体中识别电路模式的效率和可扩展性.
  • 提供一种增强神经电路架构可视化和分析的方法.

主要方法:

  • 引入了一种新的"平滑指数"算法,它将离散矩阵重新排序问题放松为连续优化问题.
  • 算法为每个单元格分配一个实值参数 (平滑指数),表示其在连续轴上的位置.
  • 通过优化识别了最小化定义成本函数的参数集.

主要成果:

  • 与现有方法相比,光滑指数算法在矩阵重排序中表现出优异的性能.
  • 顺序指数算法的计算时间随着神经元数量的增加而有利地扩展.
  • 这种方法有效地通过在信息流中排序细胞来分离反和前连接.

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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
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结论:

  • 平滑索引算法为分析大规模神经连接组提供了重大进步.
  • 它为可视化和理解复杂的神经电路结构提供了一个高效和可扩展的解决方案.
  • 这种方法有助于直接测试与大脑计算和电路模式相关的理论.