从时间预测错误的神经特征获得动态时间先验的电生理学证据
Youguo Chen1, Xiaoya Fu1, Chunhua Peng2
1Key Laboratory of Cognition and Personality (Ministry of Education), Time Psychology Research Center, Center of Studies for Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China.
Psychophysiology
|January 31, 2026
概括
时间感知涉及无意识的贝叶斯推理. 这项研究支持动态先验,显示脑电图 (EEG) P3a大脑活动反映了时间预测错误,将贝叶斯模型与预测编码联系起来.
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:
- 时间感知越来越多地被模拟为无意识的贝叶斯推理.
- 一个关键的辩论是关于priors是静态的 (统计) 还是动态更新的.
- 了解时间预测错误的神经基础至关重要.
研究的目的:
- 调查统计与动态先验在时间感知中的作用.
- 使用脑电图 (EEG) 识别时间预测错误的神经特征.
- 将时间感知的贝叶斯模型与预测编码理论联系起来.
主要方法:
- 参与者执行时间复制任务,而EEG被记录.
- 行为数据分析了时间复制精度和试验对试验的依赖性.
- 使用统计和动态先前模型计算预测错误 (PE).
- 脑电图数据分析了P3a组件与PE的关系和时间背景.
主要成果:
- 在行为上,短期持续时间被高估,长期持续时间被低估,生殖时间取决于先前的试验.
- 随着当前样本持续时间的增长,P3a的幅度下降,但随着先前的试验持续时间的增加,P3a的幅度增加.
- 从动态先验得出的预测错误比从统计先验得出的预测更好地预测了P3a振幅.
- P3a的振幅变化与时间预测错误相关.
结论:
- 该P3a组件作为一个神经签名的时间预测错误.
- 电生理学证据支持时间感知中的动态先验假设.
- 这项研究证明了贝叶斯预测编码在时间感知中的神经实现.
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