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Updated: Jul 13, 2026

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与目标模板变化的空间偏差的减弱

Injae Hong1,2, Min-Shik Kim3

  • 1Visual Attention Lab, Brigham and Women's Hospital, Boston, MA, 02215, USA.

Scientific reports
|April 3, 2024
PubMed
概括

一致的目标形状在视觉搜索中加强了空间注意力偏差. 不同的目标形状削弱了这种偏差,表明模板一致性是位置概率学习的关键.

关键词:
位置概率学习学习空间偏差是一种空间偏差.目标模板 目标模板 目标模板视觉搜索 视觉搜索 视觉搜索

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Difference from Background: Limit of Detection01:05

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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...