论文标题
脑视图：与中尺度上的空间连接数据相互作用
BrainViewer: interacting with spatial connectome data at the mesoscale
论文作者
论文摘要
科学家构建了连接组，对大脑的神经元连接的全面描述，以便更好地理解和建模大脑功能。这些途径的交互式可视化将实现此类信息流的探索性分析。 Current tools can be used to see individual tracing experiments which are used to build mesoscale connectomes of the mouse brain, but not the brain network itself.我们提出了一个称为BrainViewer的连接可视化程序，我们将其与高分辨率鼠标皮质连接组一起使用。当它们可用时，它具有显示其他数据集的连接组，并比较多个大脑结构的空间连接。我们的工具针对速度和便携性进行了优化，在2-D顶视图和Flatmap投影中呈现了GUI可视化，使用户可以选择和探索每个源素的连接与皮质中其他地方的连接。解剖学家和其他神经科学家将发现脑视觉者对建立知识的理解有用，而不是已知的皮质连通性地形。
Scientists construct connectomes, comprehensive descriptions of neuronal connections across a brain, in order to better understand and model brain function. Interactive visualizations of these pathways would enable exploratory analysis of such information flows. Current tools can be used to see individual tracing experiments which are used to build mesoscale connectomes of the mouse brain, but not the brain network itself. We present a connectivity visualization program called BrainViewer, which we use with a high-resolution mouse cortical connectome. This has the ability to display connectomes from other datasets when they become available and compare spatial connectivity across multiple brain structures. Our tool, optimized for speed and portability, presents a GUI visualization in 2-D top view and flatmap projections, allowing users to select and explore the connections of every source voxel to everywhere else in the cortex. Anatomists and other neuroscientists will find BrainViewer useful for building understanding beyond the known topography of cortical connectivity.
