Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Franz Hamilton"'
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205031 (2018)
Extracellular recordings of neuronal cells are frequently a part of in vitro and in vivo experimental studies as a means of monitoring network-level dynamics. Their connections to intracellular dynamics are not well understood. Single-unit recordings
Externí odkaz:
https://doaj.org/article/0b193d1214784099841dade6c6ec2be9
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 7, p e1005655 (2017)
Scientific analysis often relies on the ability to make accurate predictions of a system's dynamics. Mechanistic models, parameterized by a number of unknown parameters, are often used for this purpose. Accurate estimation of the model state and para
Externí odkaz:
https://doaj.org/article/cc30d359a84040dc876b79a34a1eabf0
Publikováno v:
PLoS ONE, Vol 10, Iss 11, p e0142399 (2015)
In vitro neuronal cultures have become a popular method with which to probe network-level neuronal dynamics and phenomena in controlled laboratory settings. One of the key dynamics of interest in these in vitro studies has been the extent to which cu
Externí odkaz:
https://doaj.org/article/70a24a24f6ba43c7824da9f39541759d
Publikováno v:
Physical Review X, Vol 6, Iss 1, p 011021 (2016)
Methods of data assimilation are established in physical sciences and engineering for the merging of observed data with dynamical models. When the model is nonlinear, methods such as the ensemble Kalman filter have been developed for this purpose. At
Externí odkaz:
https://doaj.org/article/5a74f302d97f41b5ab1c87fa605402a0
Autor:
Erica M. Rutter, Jim Hokanson, Christopher L. Langdale, Franz Hamilton, Hien T. Tran, Warren M. Grill, Kevin B. Flores
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26:1636-1644
Bladder overactivity and incontinence and dysfunction can be mitigated by electrical stimulation of the pudendal nerve applied at the onset of a bladder contraction. Thus, it is important to predict accurately both bladder pressure and the onset of b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12a9e00be57103fa007ed896333569d8
https://doi.org/10.1109/tnsre.2018.2854675
https://doi.org/10.1109/tnsre.2018.2854675
Publikováno v:
Applied Mathematics and Computation. 316:155-166
The use of Kalman filtering, as well as its nonlinear extensions, for the estimation of system variables and parameters has played a pivotal role in many fields of scientific inquiry where observations of the system are restricted to a subset of vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::166d8e39c3051afd0d537af94f0022d4
https://doi.org/10.1016/j.amc.2017.08.002
https://doi.org/10.1016/j.amc.2017.08.002
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 10, p e0205031 (2018)
PLoS ONE, Vol 13, Iss 10, p e0205031 (2018)
Extracellular recordings of neuronal cells are frequently a part of in vitro and in vivo experimental studies as a means of monitoring network-level dynamics. Their connections to intracellular dynamics are not well understood. Single-unit recordings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04e94d4122db4e39d82e25b5972215b5
http://europepmc.org/articles/PMC6192632
http://europepmc.org/articles/PMC6192632
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 29:053102
Standard methods of data assimilation assume prior knowledge of a model that describes the system dynamics and an observation function that maps the model state to a predicted output. An accurate mapping from model state to observation space is cruci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6beb833868ccb978a2d24006da97b85
https://doi.org/10.1063/1.5087151
https://doi.org/10.1063/1.5087151
Publikováno v:
Physical Review X, Vol 6, Iss 1, p 011021 (2016)
Methods of data assimilation are established in physical sciences and engineering for the merging of observed data with dynamical models. When the model is nonlinear, methods such as the ensemble Kalman filter have been developed for this purpose. At
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::682d1802fb9a2b07c3b05bc896d51e5a
https://doi.org/10.1103/physrevx.6.011021
https://doi.org/10.1103/physrevx.6.011021
The use of data assimilation for the merging of observed data with dynamical models is becoming standard in modern physics. If a parametric model is known, methods such as Kalman filtering have been developed for this purpose. If no model is known, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01083fd6d78030febe04d5ec2b386454
