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pro vyhledávání: '"J. Andrew Beauchamp"'
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:
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
