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长期和短期先验之间的冲突对视觉感知中加权先验整合的影响
Qi Sun1, Xiu-Mei Gong2, Qian Sun1
1School of Psychology, Zhejiang Normal University, Jinhua, PR China; Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Jinhua, PR China.
Cognition
|November 6, 2024
概括
视觉系统使用加权平均计算结合了长期和短期的先验. 这些先验之间的冲突水平决定了它们的相对权重,以有效编码刺激.
科学领域:
- 视觉感知 视觉感知 视觉感知
- 计算神经科学是一种计算神经科学.
- 贝叶斯模型是贝叶斯模型.
背景情况:
- 视觉系统利用长期和短期的先验来进行高效的刺激编码.
- 这些先的相对权重仍然不清楚.
- 之前的分布影响着导向估计,并表现出枢纽偏差.
研究的目的:
- 调查决定长期和短期先验相对权重的因素.
- 了解视觉系统如何整合相互冲突的先验.
- 用一个高效的贝叶斯观察者框架来建模先验的集成.
主要方法:
- 对方位分布的实验操纵 (自然,反自然,增幅自然).
- 库尔巴克-莱布勒分歧分析以量化先前的冲突.
- 行为实验测量方向估计和枢纽偏差.
- 使用贝叶斯观察者与加权先前集成的计算建模.
主要成果:
- 枢机偏差强度在分布中各不相同,在增幅自然分布中最强,在反自然分布中最弱.
- 一个高效的贝叶斯观察者模型准确地预测了这些结果.
- 随着长期和短期优先之间冲突的增加,短期优先权的权重下降.
结论:
- 视觉系统通过加权平均计算整合了长期和短期的先验.
- 优先事项之间的冲突程度决定了它们对综合优先事项的相对贡献.
- 这种加权集成有助于有效编码视觉刺激.
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