Complex Data

复杂数据

• 批准号: CRC-2017-00189
• 负责人: Livi, Lorenzo
• 金额: $ 5.1万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=657863
• 关键词: Complex; Data

Many natural and man-made systems are now observable with a high level of detail, allowing us to investigate and understand phenomena with an unprecedented level of sophistication.*However, data describing such systems require complex representations encoding both temporal and spatial information.*The objectives of Dr. Livi's research program are to:*Design data-driven methods to process spatio-temporal information represented as evolving graphs;*Unravel the inner mechanisms explaining the functioning of (artificial) recurrent neural networks;*Apply data-driven methods in structural biology and computational neuroscience for solving basic scientific problems having impact on society and healthcare.

许多自然和人造系统现在都可以以高水平的细节进行观察，使我们能够以前所未有的复杂程度来研究和理解现象。然而，描述这种系统的数据需要对时间和空间信息进行编码的复杂表示。Livi博士的研究计划的目标是：* 设计数据驱动的方法来处理表示为不断变化的图形的时空信息;* 解开解释（人工）递归神经网络功能的内部机制;* 将数据驱动的方法应用于结构生物学和计算神经科学，以解决对社会和医疗保健有影响的基础科学问题。