Learning priors for Bayesian perception in normal and atypical development

正常和非典型发育中贝叶斯感知的学习先验

• 批准号: 2099862
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2099862
• 关键词: Learning; priors; Bayesian; perception; normal

To navigate the environment and interact with others, people must constantly form decisions based on uncertain information. Humans have been shown to integrate current sensory evidence with expectations based on prior experience in a manner consistent with Bayesian decision theory. However, fundamental questions remain regarding how priors are learned, and how learning progresses in typical and atypical development.This project has two provisional aims:(1) To characterise the time-course and properties of Bayesian prior learning in normally developing children and adults(2) To test the hypothesis that atypical Bayesian prior learning underlies commonly reported perceptual anomalies in autism spectrum disorder (ASD)

为了在环境中导航并与他人互动，人们必须不断地根据不确定的信息做出决策。人类已经被证明以一种与贝叶斯决策理论一致的方式，将当前的感官证据与基于先前经验的期望相结合。这个项目有两个临时目标：(1)描述正常发育儿童和成人的贝叶斯先验学习的时间过程和特征；(2)检验非典型贝叶斯先验学习是自闭症谱系障碍(ASD)中常见知觉异常的基础的假设