Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Roncal, William Gray"'
Autor:
Burns, Randal, Perlman, Eric, Baden, Alex, Roncal, William Gray, Falk, Ben, Chandrashekhar, Vikram, Collman, Forrest, Seshamani, Sharmishtaa, Patsolic, Jesse, Lillaney, Kunal, Kazhdan, Michael, Hider Jr., Robert, Pryor, Derek, Matelsky, Jordan, Gion, Timothy, Manavalan, Priya, Wester, Brock, Chevillet, Mark, Trautman, Eric T., Khairy, Khaled, Bridgeford, Eric, Kleissas, Dean M., Tward, Daniel J., Crow, Ailey K., Wright, Matthew A., Miller, Michael I., Smith, Stephen J, Vogelstein, R. Jacob, Deisseroth, Karl, Vogelstein, Joshua T.
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies. We have developed a computational ecosystem that enables storage, visualization, and analysis of these data in the cloud, thusfar spanning 20+
Externí odkaz:
http://arxiv.org/abs/1804.02835
Autor:
Reilly, Elizabeth P., Garretson, Jeffrey S., Roncal, William Gray, Kleissas, Dean M., Wester, Brock A., Chevillet, Mark A., Roos, Matthew J.
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 fac
Externí odkaz:
http://arxiv.org/abs/1702.02684
Autor:
Kiar, Gregory, Gorgolewski, Krzysztof J., Kleissas, Dean, Roncal, William Gray, Litt, Brian, Wandell, Brian, Poldrack, Russel A., Wiener, Martin, Vogelstein, R. Jacob, Burns, Randal, Vogelstein, Joshua T.
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 towards answering the q
Externí odkaz:
http://arxiv.org/abs/1610.08484
Developing automated and semi-automated solutions for reconstructing wiring diagrams of the brain from electron micrographs is important for advancing the field of connectomics. While the ultimate goal is to generate a graph of neuron connectivity, m
Externí odkaz:
http://arxiv.org/abs/1608.02307
Autor:
Dyer, Eva L., Roncal, William Gray, Fernandes, Hugo L., Gürsoy, Doga, De Andrade, Vincent, Vescovi, Rafael, Fezzaa, Kamel, Xiao, Xianghui, Vogelstein, Joshua T., Jacobsen, Chris, Körding, Konrad P., Kasthuri, Narayanan
Methods for resolving the 3D microstructure of the brain typically start by thinly slicing and staining the brain, and then imaging each individual section with visible light photons or electrons. In contrast, X-rays can be used to image thick sample
Externí odkaz:
http://arxiv.org/abs/1604.03629
Imaging methods used in modern neuroscience experiments are quickly producing large amounts of data capable of providing increasing amounts of knowledge about neuroanatomy and function. A great deal of information in these datasets is relatively unex
Externí odkaz:
http://arxiv.org/abs/1604.03199
Autor:
Roncal, William Gray, Kleissas, Dean M., Vogelstein, Joshua T., Manavalan, Priya, Lillaney, Kunal, Pekala, Michael, Burns, Randal, Vogelstein, R. Jacob, Priebe, Carey E., Chevillet, Mark A., Hager, Gregory D.
Reconstructing a map of neuronal connectivity is a critical challenge in contemporary neuroscience. Recent advances in high-throughput serial section electron microscopy (EM) have produced massive 3D image volumes of nanoscale brain tissue for the fi
Externí odkaz:
http://arxiv.org/abs/1411.6880
Autor:
Sinha, Ayushi, Roncal, William Gray, Kasthuri, Narayanan, Lichtman, Jeff W., Burns, Randal, Kazhdan, Michael
Accurately estimating the wiring diagram of a brain, known as a connectome, at an ultrastructure level is an open research problem. Specifically, precisely tracking neural processes is difficult, especially across many image slices. Here, we propose
Externí odkaz:
http://arxiv.org/abs/1405.1965
Autor:
Sinha, Ayushi, Roncal, William Gray, Kasthuri, Narayanan, Chuang, Ming, Manavalan, Priya, Kleissas, Dean M., Vogelstein, Joshua T., Vogelstein, R. Jacob, Burns, Randal, Lichtman, Jeff W., Kazhdan, Michael
In this paper, we present a new pipeline which automatically identifies and annotates axoplasmic reticula, which are small subcellular structures present only in axons. We run our algorithm on the Kasthuri11 dataset, which was color corrected using g
Externí odkaz:
http://arxiv.org/abs/1404.4800
Autor:
Roncal, William Gray, Pekala, Michael, Kaynig-Fittkau, Verena, Kleissas, Dean M., Vogelstein, Joshua T., Pfister, Hanspeter, Burns, Randal, Vogelstein, R. Jacob, Chevillet, Mark A., Hager, Gregory D.
Publikováno v:
Proceedings of the British Machine Vision Conference (BMVC), pages 81.1-81.13. BMVA Press, September 2015
An open challenge problem at the forefront of modern neuroscience is to obtain a comprehensive mapping of the neural pathways that underlie human brain function; an enhanced understanding of the wiring diagram of the brain promises to lead to new bre
Externí odkaz:
http://arxiv.org/abs/1403.3724