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pro vyhledávání: '"De Zoysa, Dulara"'
Autor:
Trejo, Eyisto J. Aguilar, Martin, Daniel A., De Zoysa, Dulara, Bowen, Zac, Grigera, Tomas S., Cannas, Sergio A., Losert, Wolfgang, Chialvo, Dante R.
Publikováno v:
Phys. Rev. E 106, 054313. Published 29 November 2022
In this article, a correlation metric $\kappa_C$ is proposed for the inference of the dynamical state of neuronal networks. $\kappa_C$ is computed from the scaling of the correlation length with the size of the observation region, which shows qualita
Externí odkaz:
http://arxiv.org/abs/2205.11341
Autor:
Bowen Z; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA.; Fraunhofer USA Center Mid-Atlantic, Riverdale, MD 20737, USA., De Zoysa D; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA.; Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA., Shilling-Scrivo K; Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore MD 21230, USA.; Department of Biology, University of Maryland, College Park, MD 20742, USA., Aghayee S; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA., Di Salvo G; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 20215, USA., Smirnov A; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA.; Kavli NDI, Johns Hopkins University, Baltimore, MD 20215, USA., Kanold PO; Department of Biology, University of Maryland, College Park, MD 20742, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 20215, USA.; Kavli NDI, Johns Hopkins University, Baltimore, MD 20215, USA., Losert W; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA.
Publikováno v:
ENeuro [eNeuro] 2024 Sep 12. Date of Electronic Publication: 2024 Sep 12.