We live in the age of big data. All types of data are being generated at an increasing rate but theories about the strategies and methods to visualize them is lagging. One of the main challenges we face today in research is to keep up with the massive amounts of data we produce (Allen, Elena A. et.al, 2012). Especially in the field of neuroscience and its use of imaging technologies, the vast array of data has risen to such a high number that it is impossible to grasp the inherent information without additional software tools and intelligent interfaces. Only through this are scientists able to select the relevant information from the generated data of the functional Magnetic Resonance Imaging (fMRI) or Positron Emission Tomography PET scans and decide which data should be shown and how.
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机译：我们生活在大数据时代。所有类型的数据都在以越来越高的速度生成，但是关于将它们可视化的策略和方法的理论却滞后。我们今天在研究中面临的主要挑战之一是要跟上我们产生的大量数据（Allen，Elena A. et.al，2012）。特别是在神经科学及其影像技术的应用领域中，大量的数据已经上升到如此之高的水平，以至于没有附加的软件工具和智能接口就无法掌握固有信息。只有这样，科学家才能从功能磁共振成像（fMRI）或正电子发射断层扫描PET扫描的生成数据中选择相关信息，并决定应显示哪些数据以及如何显示。
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