McGill’s Neuroimaging Computing Platform

在涉及最新脑成像技术的系统神经科学研究中，使用高性能和高可用性计算已经变得至关重要：1)数据量随着扫描仪空间和时间分辨率的提高而膨胀；2)数据分析方法在复杂性和计算要求方面有了巨大的增长；3)人们对大数据资源（更高的统计能力、高维数据分类、统计和深度学习等）提供的独特机会越来越感兴趣，科学依据也越来越强。

Access to high-performance and high-availability computing has become essential in systems neuroscience research involving the latest brain imaging techniques: 1) data volumes have inflated in pair with the augmented spatial and temporal resolution of scanners, 2) data analysis methods have grown tremendously in sophistication and computing requirements, and 3) there is growing interest and strong scientific rationale in the unique opportunities offered by big-data resources (higher statistical power, high-dimensional data classification, statistical and deep learning, etc.).