Roncal Gray



As the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and complex. Sharing visualizations amongst collaborators and with the public can be especially onerous, as it is challenging to reconcile software dependencies, data formats, and specific user nee   ...more

As larger neural circuit data becomes broadly available to the research community, researchers look to the brain to understand why humans perform certain tasks robustly and efficiently and the underlying circuitry for some neurological disorders. In particular, discovery of repeated structure in large, newly collected brain image volumes would supp   ...more

Large volumetric neuroimaging datasets have grown in size over the past ten years from gigabytes to terabytes, with petascale data becoming available and more common over the next few years. Current approaches to store and analyze these emerging datasets are insufficient in their ability to scale in both cost-effectiveness and performance. Addition   ...more

Understanding the link between information processing in neural circuits and behavior remains a key goal in neuroscience. Network circuits extracted from the brain can be represented as a graph, where neurons are nodes and synapses are edges; attributes such as edge weights can provide additional context and information about the flow of informatio   ...more

Neuroscientists are collecting Electron Microscopy (EM) datasets at increasingly faster rates. This modality offers an unprecedented map of brain structure at the resolution of individual neurons and their synaptic connections. Despite sophisticated image processing algorithms such as Flood Filling Networks, these huge datasets often require large   ...more

Recent technological developments, such as high-throughput imaging and sequencing, enable experimentalists to collect increasingly large, complex, and heterogeneous ‘big’ data. These studies result in terabytes of data per day, yielding petabytes across experiments and laboratories. These experimental capabilities exceed the scale or feature set of   ...more

We describe NDStore, a scalable multi-hierarchical data storage deployment for spatial analysis of neuroscience data on the AWS cloud. The system design is inspired by the requirement to maintain high I/O throughput for workloads that build neural connectivity maps of the brain from peta-scale imaging data using comput   ...more

Programs that focus on student outreach are often disjoint from sponsored research efforts, despite the mutually beneficial opportunities that are possible with a combined approach. We designed and piloted a program to simultaneously meet the needs of underserved students and a large-scale sponsored research goal. Our program trained undergraduate   ...more

Medical imaging analysis depends on the reproducibility of complex computation. Linux containers enable the abstraction, installation, and configuration of environments so that software can be both distributed in self-contained images and used repeatably by tool consumers. While several initiatives in neuroimaging have adopted approaches for creat   ...more

Neuroscientists are actively pursuing high-precision maps, or graphs consisting of networks of neurons and connecting synapses in mammalian and non-mammalian brains. Such graphs, when coupled with physiological and behavioral data, are likely to facilitate greater understanding of how circuits in these networks give rise to complex information pro   ...more

Data show that many high school students, especially those from underserved or underrepresented backgrounds, are unsuccessful in achieving a four-year college degree, particularly in Science, Technology, Engineering, and Math (STEM) careers. These young scholars often have strong potential and ambitious dreams, but face significant structural barr   ...more

Methods for resolving the three-dimensional (3D) microstructure of the brain typically start by thinly slicing and staining the brain, followed by imaging numerous individual sections with visible light photons or electrons. In contrast, X-rays can be used to image thick samples, providing a rapid approach for producing large 3D brain maps without   ...more

Modern technologies are enabling scientists to collect extraordinary amounts of complex and sophisticated data across a huge range of scales like never before. With this onslaught of data, we can allow the focal point to shift from data collection to data analysis. Unfortunately, lack of standardized sharing mechanisms and practices often make rep   ...more

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Ashley Llorens

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