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相关概念视频

Spherical and Cylindrical Capacitor01:26

Spherical and Cylindrical Capacitor

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A spherical capacitor consists of two concentric conducting spherical shells of radii R1 (inner shell) and R2 (outer shell). The shells have  equal and opposite charges of +Q and −Q, respectively. For an isolated conducting spherical capacitor, the radius of the outer shell can be considered to be infinite.
Conventionally, considering the  symmetry, the electric field between the concentric shells of a spherical capacitor is directed radially outward. The magnitude of the field,...
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Spherical Coordinates01:23

Spherical Coordinates

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Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
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Somatosensation01:33

Somatosensation

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The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
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Cerebrum: Anatomical Overview II01:11

Cerebrum: Anatomical Overview II

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Each cerebral hemisphere can be divided into three main regions. The outermost region, the cerebral cortex, is a thin layer (2 to 4 millimeters thick) made up of gray matter, consisting of neuron cell bodies, dendrites, glial cells, and blood vessels. The middle region, or white matter, is primarily composed of myelinated nerve fibers organized into three types of large tracts: association fibers, commissures, and projection fibers. Association fibers connect different areas within the same...
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Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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Gauss's Law: Spherical Symmetry01:26

Gauss's Law: Spherical Symmetry

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A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half...
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相关实验视频

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How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
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在皮层表面上的球形变压器.

Jiale Cheng1,2, Xin Zhang1, Fenqiang Zhao2

  • 1South China University of Technology, Guangzhou, China.

Machine learning in medical imaging. MLMI (Workshop)
|December 18, 2023
PubMed
概括
此摘要是机器生成的。

我们介绍了球形变压器,这是一种用于分析大脑皮层表面数据的新型深度学习模型. 这种高效的架构有效地捕捉了神经成像应用的远程依赖和时空模式.

关键词:
认知 认知是一种认知.皮层表面 皮层表面发展预测 发展预测变压器变压器变压器

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科学领域:

  • 神经成像是一种神经成像.
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 变压器架构在计算机视觉方面取得了巨大的成功.
  • 将这些模型扩展到非欧几里德空间,如大脑皮层表面,这是非常理想的.
  • 皮层表面数据通常由具有球形拓的三角网格表示.

研究的目的:

  • 提出一种新的球形变压器架构,用于分析大脑皮层表面数据.
  • 为了利用自我注意机制来编码远程依赖和时空模式.
  • 为了评估模型在神经影像预测任务上的表现.

主要方法:

  • 将皮质表面映射到球体上,并将它们划分为重叠的球形斑块.
  • 在本地补丁中应用自我注意力,以实现高效的计算和上下文信息保存.
  • 引入时空自我注意力来处理纵向皮质表面和捕捉动态模式.

主要成果:

  • 球形变压器在表面级 (认知预测) 和顶点级 (皮层厚度图开发) 预测任务上表现出了竞争力.
  • 该模型有效地编码了远程依赖关系,并保留了详细的上下文信息.
  • 时空自我注意力有效地提取空间背景和动态发展模式.

结论:

  • 拟议的球形变压器是神经成像分析的有效通用骨干.
  • 它在处理皮质表面数据,特别是纵向数据方面提供了显著的改进.
  • 该模型显示了早期大脑发育绘制应用的前景.