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相关概念视频

Neural Regulation01:37

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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.
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¹³C NMR: ¹H–¹³C Decoupling01:04

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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
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Electrostatic Boundary Conditions01:16

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Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
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相关实验视频

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Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
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神经同步与表面分离规则相关.

M Castelo-Branco1, R Goebel, S Neuenschwander

  • 1Max-Planck-Institut für Hirnforschung, Frankfurt am Main, Germany.

Nature
|June 23, 2000
PubMed
概括
此摘要是机器生成的。

神经元同步放电以识别视觉场景中的表面. 这种神经同步,而不是响应幅度,信号不同的表面,帮助图像分析和对象识别.

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科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 视觉感知 视觉感知 视觉感知

背景情况:

  • 视觉系统分解场景进行分析,表面识别先进行对象识别.
  • 图形刺激,两个叠加的格子以不同的方式移动,可以被感知为组件运动 (两个表面) 或图案运动 (单个中间方向).
  • 网格交叉点的亮度会影响透明感知,在组件和图案运动之间转移.

研究的目的:

  • 研究视觉皮层区域A18和PMLS中的神经元如何从叠加的移动网格中编码表面信息.
  • 确定神经响应幅度或同步是否更好地反映了表面分离和感知过渡.

主要方法:

  • 在视觉皮层区域A18和PMLS中记录的神经元放电,以响应状刺激.
  • 在格子交叉点操纵光度,以改变感知到的透明度和运动 (组件与图案运动).
  • 分析了与刺激特性和感知有关的神经元响应幅度和放电同步.

主要成果:

  • 神经元在响应同一表面的轮时同步放电,但在响应不同表面的轮时不会.
  • 神经元响应幅度与部件和模式运动的预测保持一致.
  • 同步,与响应幅度不同,未能反映由亮度变化引起的从组件到模式运动的感知过渡.

结论:

  • 神经元同步的动态变化,而不是响应幅度,可能会编码叠加轮之间的上下文关系.
  • 神经同步可以偏向轮与不同的表面的关联,有助于视觉场景分解.
  • 同步提供了视觉系统中上下文依赖的表面感知和分离的机制.