预先概率偏差通过调整决策证据的积累率而不是基线来调整感知选择
Jessica A Diaz1, M Andrea Pisauro2,3,4, Ioannis Delis5
1School of Social Sciences, College of Psychology Birmingham City University, Birmingham, United Kingdom.
Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
概括
预先概率通过主要改变证据积累速度而不是起点来影响感知决策. 这种神经信息化的方法澄清了先前信息如何偏差感官证据的解释.
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.
- 决策科学 决策科学 决策科学
背景情况:
- 刺激的先前概率影响感知决策.
- 计算模型传统上将此归因于证据积累起点的变化.
- 最近的理论表明,先验概率也可能影响证据积累的速度.
研究的目的:
- 调查先验概率是否影响证据积累的起点,速度或两者.
- 为这项调查引入神经信息行为建模方法.
- 为了明确先验概率对感知决策的影响机制.
主要方法:
- 使用了一个视觉对象分类任务.
- 采用单次试验电脑电图 (EEG) 分析来识别可选的神经元件.
- 限制了一个层次的漂移扩散模型 (DDM),用神经测量决策证据的变化.
主要成果:
- 预先概率效应主要通过证据积累速度的变化来解释.
- 这与将效应归因于起点的传统模型形成鲜明对比.
- 神经信息模型约束揭示了感官证据解释中的偏见.
结论:
- 预先的概率主要会对感官证据的解释产生偏见,有利于最可能的刺激.
- 证据积累的速度是受先前概率影响的关键参数.
- 神经信息模型提供了对决策过程的更精确的理解.
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