From insects to robots: how brains make predictions and ignore distractions

从昆虫到机器人：大脑如何做出预测并忽略干扰

• 批准号: FT180100466
• 负责人: A/Prof Steven Wiederman
• 金额: $ 60.12万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-10-01 至 2023-10-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT180100466
• 关键词: insects; robots; how; brains; make

This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden behind another object. This project will investigate how brains use both environmental and internal information to select a target and predict its future location. By implementing bio-inspired computations in hardware, this project aims to provide significant benefits such as improving autonomous systems for defence, health and transportation.

该项目旨在解决神经科学中的基本问题，并将这种生物学理解与尖端机器人技术的发展相结合。无论是人类接球还是蜻蜓在蜂群中觅食，大脑都有非凡的能力来预测未来移动目标的位置。大脑会在有干扰的情况下进行预测，即使目标消失了，例如，当目标隐藏在另一个物体后面时。这个项目将研究大脑如何利用环境和内部信息来选择目标并预测其未来位置。通过在硬件中实施生物启发计算，该项目旨在提供重大好处，如改善国防、医疗和交通的自主系统。