Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zinong Yang"'
Autor:
Joshua Levitt, Zinong Yang, Stephanie D. Williams, Stefan E. Lütschg Espinosa, Allan Garcia-Casal, Laura D. Lewis
Publikováno v:
NeuroImage, Vol 273, Iss , Pp 120092- (2023)
Simultaneous EEG-fMRI is a powerful multimodal technique for imaging the brain, but its use in neurofeedback experiments has been limited by EEG noise caused by the MRI environment. Neurofeedback studies typically require analysis of EEG in real time
Externí odkaz:
https://doaj.org/article/816b8df2209047469345b93ea27d3925
Autor:
Joshua Levitt, Zinong Yang, Stephanie D. Williams, Stefan E. Lütschg Espinosa, Allan Garcia-Casal, Laura D. Lewis
Simultaneous EEG-fMRI is a powerful multimodal technique for imaging the brain, but its use in neurofeedback experiments has been limited by EEG noise caused by the MRI environment. Neurofeedback studies typically require analysis of EEG in real time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05dd090edb4e57bdac820eaae9201fab
https://doi.org/10.1101/2022.11.21.515651
https://doi.org/10.1101/2022.11.21.515651
Autor:
Zinong Yang, Laura D. Lewis
Publikováno v:
Current opinion in behavioral sciences
The spontaneous dynamics of the brain modulate its function from moment to moment, shaping neural computation and cognition. Functional MRI (fMRI), while classically used as a tool for spatial localization, is increasingly being used to identify the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03b7b72cbba186214c7003309d95017d
https://doi.org/10.1016/j.cobeha.2021.02.005
https://doi.org/10.1016/j.cobeha.2021.02.005
Publikováno v:
Natural Language Processing and Chinese Computing ISBN: 9783030884796
NLPCC (1)
NLPCC (1)
Ancient Chinese literatures are not only the unique cultural heritage of China but also the treasures of world civilization. Nevertheless, it has become quite difficult for modern people to comprehend or even create ancient works with the evolution o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c2935538d3f2f8bdfbbc18ef20d78b4
https://doi.org/10.1007/978-3-030-88480-2_10
https://doi.org/10.1007/978-3-030-88480-2_10
Publikováno v:
Knowledge-Based Systems. 192:105249
While the accuracy of link prediction has been improved continuously, the utility of the inferred new links is rarely concerned especially when it comes to information diffusion. This paper defines the utility of links based on average shortest dista
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f19cbab5eee7b3b17341219a0bd1892
https://doi.org/10.1016/j.knosys.2019.105249
https://doi.org/10.1016/j.knosys.2019.105249