Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Donias Doko"'
Publikováno v:
Western Journal of Emergency Medicine, Vol 24, Iss 6, Pp 1025-1033 (2023)
Introduction: Epinephrine continues to be a fundamental part of the Advanced Cardiac Life Support algorithm despite a lack of evidence that it improves neurologically intact survival. Our aim was both to identify a potential upper limit of epinephrin
Externí odkaz:
https://doaj.org/article/f0a8686bb8124e4c8c439e4f74997f87
Publikováno v:
POCUS Journal, Vol 8, Iss 2 (2023)
Background: The prevalence of phantom scanning, or point of care ultrasound (POCUS) performed without saving images, has not been well studied. Phantom scanning can negatively affect patient care, reduce billed revenue, and can increase medicolegal l
Externí odkaz:
https://doaj.org/article/1d78fe64ab02427abf96ec24854185d7
Autor:
Rajeev D. S. Raizada, Meng-Huan Wu, Robert A. Jacobs, Shimon Edelman, Lauren L. Emberson, Dave F. Kleinschmidt, Donias Doko
Publikováno v:
Journal of Cognitive Neuroscience. 32:2342-2355
The human brain is able to learn difficult categorization tasks, even ones that have linearly inseparable boundaries; however, it is currently unknown how it achieves this computational feat. We investigated this by training participants on an animal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baef6cc3e7afcdfd9270c0287dc762b8
https://doi.org/10.1162/jocn_a_01533
https://doi.org/10.1162/jocn_a_01533
Autor:
Meng-Huan Wu, Dave F Kleinschmidt, Lauren Emberson, Donias Doko, Shimon Edelman, Robert Jacobs, Rajeev Raizada
Author's final accepted version of paper accepted for publication in Journal of Cognitive Neuroscience. The human brain is able to learn difficult categorization tasks, even ones that have linearly inseparable boundaries; however, it is currently unk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8ac4118faf0c4f701c7eda37812662d
https://doi.org/10.31234/osf.io/ctgy6
https://doi.org/10.31234/osf.io/ctgy6
Autor:
Lisa L. Conant, Mario Aguilar, Jeffrey R. Binder, Donias Doko, Rajeev D. S. Raizada, Leonardo Fernandino, Colin Humphries, Xixi Wang, Andrew J. Anderson
Publikováno v:
Cerebral Cortex.
We introduce an approach that predicts neural representations of word meanings contained in sentences then superposes these to predict neural representations of new sentences. A neurobiological semantic model based on sensory, motor, social, emotiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::249a98bacfa49b05e3d51f2140b4fe2b
https://doi.org/10.1093/cercor/bhw240
https://doi.org/10.1093/cercor/bhw240