Temporal context in perception: serial dependence and rhythmic oscillations

感知中的时间背景：序列依赖性和节律振荡

• 批准号: DP190101537
• 负责人: Prof David Alais
• 金额: $ 31.75万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190101537
• 关键词: Temporal; context; perception; serial; dependence

This project aims to uncover how the brain uses knowledge and predictions about the world to interpret incoming sensory input. The project intends to study how recent sensory history influences current perception (serial dependence) and how rhythmic neural oscillations modulate perception. Project outcomes include a major advance in theories of how the brain achieves optimal predictive perception, and a model that can guide new applications in intelligent machines and sensing robots. Understanding predictive perception has a clinical benefit, as it is prone to dysfunction (as in autism), and an applied benefit, as it will generate a predictive model to guide new practical applications in sensing robots.

该项目旨在揭示大脑如何利用对世界的知识和预测来解释传入的感官输入。该项目旨在研究最近的感觉历史如何影响当前的感知（序列依赖）以及节律性神经振荡如何调节感知。项目成果包括在大脑如何实现最佳预测感知的理论方面取得重大进展，以及一个可以指导智能机器和传感机器人新应用的模型。了解预测性感知具有临床益处，因为它容易出现功能障碍（如自闭症），并且具有应用益处，因为它将生成一个预测模型来指导传感机器人的新实际应用。