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相关概念视频

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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相关实验视频

Updated: Jul 10, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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阿尔法振荡编码贝叶斯信念,更新动态环境中潜在的注意力分配.

Siying Li1, Carol A Seger2, Jianfeng Zhang1

  • 1School of Psychology, Shenzhen University, No. 3688, Nanhai Avenue, Shenzhen 518060, China.

NeuroImage
|November 20, 2023
PubMed
概括

这项研究揭示了大脑如何根据新的证据更新对视觉空间注意力的预期. 精度依赖的注意力调节阿尔法振荡,特别是当线索高度可预测时.

关键词:
阿尔法振荡是指阿尔法振荡.贝叶斯的等级模型是贝叶斯的等级模型.线索的有效性 线索的有效性环境敏感性 环境敏感性空间注意力空间注意力

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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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相关实验视频

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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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科学领域:

  • 认知神经科学 认知神经科学
  • 计算神经科学是一种神经科学.

背景情况:

  • 注意期望在不断变化的环境中根据收到的证据动态调整.
  • 了解这些动态的注意力转移的神经基础对于认知科学至关重要.

研究的目的:

  • 通过使用修改后的波斯纳范式,研究注意力期望的神经机制.
  • 检查预测的精度是如何影响注意力分配及其神经相关的.

主要方法:

  • 采用了经过修改的中央线索波斯纳范式,操纵了线索有效性概率.
  • 利用一个层次化的贝叶斯模型来估计精度依赖的注意力 (α).
  • 分析了脑电图 (EEG) 数据,将精度依赖的注意力作为回归器.

主要成果:

  • 在目标发作之前的阿尔法振荡 (813 Hz) 通过精度依赖的注意力在高暗示可预测性 (88%有效) 下预测.
  • 在低可预测性条件下 (69%和50%的有效线索) 没有这种关系.
  • 目标后,精确度依赖的注意力与只有有效线索的α振荡相关.

结论:

  • 试验逐试验的贝叶斯信念更新会影响视觉空间注意力的神经编码.
  • 阿尔法频段活动反映了由预测精度调节的环境敏感的注意分配.
  • 线索的有效性和定向还与精度依赖的注意力调制相互作用.