Identification of interacting neural populations: methods and statistical considerations.

Autor: Kass RE; Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States., Bong H; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States., Olarinre M; Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States., Xin Q; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States., Urban KN; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.

Publikováno v: Journal of neurophysiology [J Neurophysiol] 2023 Sep 01; Vol. 130 (3), pp. 475-496. Date of Electronic Publication: 2023 Jul 19.

Predictive Modeling for West Nile Virus and Mosquito Surveillance in Lubbock, Texas.

Autor: Peper ST; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Dawson DE; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Dacko N; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Athanasiou K; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Hunter J; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Loko F; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Almas S; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Sorensen GE; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Urban KN; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Wilson-Fallon AN; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Haydett KM; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Greenberg HS; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Gibson AG; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163., Presley SM; Vector-Borne Zoonoses Laboratory, The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX 79409-1163.

Publikováno v: Journal of the American Mosquito Control Association [J Am Mosq Control Assoc] 2018 Mar; Vol. 34 (1), pp. 18-24.