Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rogene M Eichler West"'
Autor:
Marjolein Oostrom, Michael A Muniak, Rogene M Eichler West, Sarah Akers, Paritosh Pande, Moses Obiri, Wei Wang, Kasey Bowyer, Zhuhao Wu, Lisa M Bramer, Tianyi Mao, Bobbie Jo M Webb-Robertson
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0293856 (2024)
Light-sheet microscopy has made possible the 3D imaging of both fixed and live biological tissue, with samples as large as the entire mouse brain. However, segmentation and quantification of that data remains a time-consuming manual undertaking. Mach
Externí odkaz:
https://doaj.org/article/89c2b715a19448aeb61a8a9ccb5ee256
Publikováno v:
Journal of Computational Physics. 222:654-672
A numerical model based on smoothed particle hydrodynamics (SPH) was developed for reactive transport and mineral precipitation in fractured and porous materials. Because of its Lagrangian particle nature, SPH has several advantages for modeling Navi
Publikováno v:
Future Generation Computer Systems. 16:111-121
The amount of available data in the neuroscience community is growing rapidly, and is approaching the point where researchers can no longer keep up. This paper describes the development of the Modeler’s Workspace, a digital library system we are bu
Publikováno v:
Journal of Neuroscience Methods. 68:15-19
The solution to matrix equations which describe branched neuron-like structures can be made more efficient by minimizing matrix banding. This can be accomplished through the reordering of the compartmental numbering system. The renumbering method pre
Publikováno v:
2006 IEEE Nuclear Science Symposium Conference Record.
Monte Carlo simulations of radiation detectors invoke computationally-intensive methods, to model a broad range of dynamical physical processes. In this paper, we examine the applicability of a black-box optimization technique, multiple fidelity sequ
Publikováno v:
Evolutionary Algorithms ISBN: 9781461271857
Evolutionary algorithms / Davis, Lawrence David [edit.]
Evolutionary algorithms / Davis, Lawrence David [edit.]
Many physical systems of interest to scientists and engineers can be modeled using a partial differential equation extended along the dimensions of time and space. These equations are typically nonlinear with real-valued parameters that control the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb9dcee0cc152da81ca1506e1efe3dbb
https://doi.org/10.1007/978-1-4612-1542-4_3
https://doi.org/10.1007/978-1-4612-1542-4_3
Publikováno v:
Computational Neuroscience ISBN: 9781475798029
Many modeling efforts have met skepticism among experimental neuroscientists largely because of a perception that system parameters are selected arbitrarily. In particular, a lack of high resolution data describing the spatial distribution of voltage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51a2cc01c3a4edc5fdb08082b49f6995
https://doi.org/10.1007/978-1-4757-9800-5_13
https://doi.org/10.1007/978-1-4757-9800-5_13