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pro vyhledávání: '"Y. Curtis Wang"'
Autor:
Y. Curtis Wang, Johann Rudi, James Velasco, Nirvik Sinha, Gideon Idumah, Randall K. Powers, Charles J. Heckman, Matthieu K. Chardon
Publikováno v:
Frontiers in Systems Neuroscience, Vol 16 (2022)
One of the most common types of models that helps us to understand neuron behavior is based on the Hodgkin–Huxley ion channel formulation (HH model). A major challenge with inferring parameters in HH models is non-uniqueness: many different sets of
Externí odkaz:
https://doaj.org/article/417440fe1d7046dc918dcf36357d01c9
Publikováno v:
International Journal of Hyperthermia, Vol 36, Iss 1, Pp 427-436 (2019)
Background: Radiofrequency ablation is a minimally-invasive treatment method that aims to destroy undesired tissue by exposing it to alternating current in the 100 kHz–800 kHz frequency range and heating it until it is destroyed via coagulative nec
Externí odkaz:
https://doaj.org/article/0fe565bc28554a0b9dc4bc674e038f8c
Autor:
Matthieu K Chardon, Y Curtis Wang, Marta Garcia, Emre Besler, J Andrew Beauchamp, Michael D'Mello, Randall K Powers, Charles J Heckman
Publikováno v:
eLife, Vol 12 (2024)
In this study, we develop new reverse engineering (RE) techniques to identify the organization of the synaptic inputs generating firing patterns of populations of neurons. We tested these techniques in silico to allow rigorous evaluation of their eff
Externí odkaz:
https://doaj.org/article/dca4fd6afd794d27ba7331811bbcf343
Autor:
Efren Aldana, James Araiza, Y. Curtis Wang, Hui Zhong, Niranjala Tillakaratne, V Reggie Edgerton, Michael Joseph
Publikováno v:
Physiology. 38
Following spinal cord injury (SCI), sensory and motor functions are severely disrupted yet the spinal circuitry below the injury site continues to maintain active and functional neuronal properties (Edgerton, 2004). The spinal cord is endogenously ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d5530dfaf3324f57a8c58d183282024
https://doi.org/10.1152/physiol.2023.38.s1.5734029
https://doi.org/10.1152/physiol.2023.38.s1.5734029
Autor:
null James A Beauchamp, null Gregory E P Pearcey, null Obaid U Khurram, null Matthieu Chardon, null Y Curtis Wang, null Randall K Powers, null Julius P A Dewald, null C J Heckman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f90bbe0b74411613c24656a7cf90387a
https://doi.org/10.1088/1741-2552/acb1d7/v2/response1
https://doi.org/10.1088/1741-2552/acb1d7/v2/response1
Autor:
Matthieu K. Chardon, Y. Curtis Wang, Marta Garcia, Emre Besler, J. Andrew Beauchamp, Michael D’Mello, Randall K. Powers, Charles J. Heckman
In this study, we achieved a major step forward in the analysis of firing patterns of populations of motoneurons, through remarkably extensive parameter searches enabled by massively-parallel computation on supercomputers. The ability to implement th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3884b8a11f79f24a8d7d63aa59784450
https://doi.org/10.1101/2022.12.09.519818
https://doi.org/10.1101/2022.12.09.519818
Autor:
Y. Curtis Wang, Johann Rudi, James Velasco, Nirvik Sinha, Gideon Idumah, Randall K. Powers, Charles J. Heckman, Matthieu K. Chardon
One of the most common types of models that helps us to understand neuron behavior is based on the Hodgkin–Huxley ion channel formulation (HH model). A major challenge with inferring parameters in HH models is non-uniqueness: many different sets of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a787551bbcb6f3eec140b593853a0e57
https://hdl.handle.net/10919/112831
https://hdl.handle.net/10919/112831
Autor:
Charles J. Heckman, Johann Rudi, Gideon Idumah, Y. Curtis Wang, Randall K. Powers, James Velasco, Nirvik Sinha, Matthieu K. Chardon
Experimental data-based parameter search for Hodgkin–Huxley-style (HH) neuron models is a major challenge for neuroscientists and neuroengineers. Current search strategies are often computationally expensive, are slow to converge, have difficulty h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2488ebd769c99d348fe32f41d7021034
https://doi.org/10.1101/2021.11.18.469189
https://doi.org/10.1101/2021.11.18.469189
Autor:
James A Beauchamp, Gregory E P Pearcey, Obaid U Khurram, Matthieu Chardon, Y Curtis Wang, Randall K Powers, Julius P A Dewald, CJ Heckman
Publikováno v:
Journal of Neural Engineering. 20:016034
Objective. All motor commands flow through motoneurons, which entrain control of their innervated muscle fibers, forming a motor unit (MU). Owing to the high fidelity of action potentials within MUs, their discharge profiles detail the organization o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbf6565959e9a572246a2dfc853ad12c
https://doi.org/10.1088/1741-2552/acb1d7
https://doi.org/10.1088/1741-2552/acb1d7
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