Focal limbic sources create the large slow oscillations of the EEG in human deep sleep

Autor: Phan Luu, Kyle K. Morgan, Mariano Fernández-Corazza, Don M. Tucker, Roma Shusterman, Evan Hathaway, Megan Carson

Publikováno v: Sleep Med

Background Initial observations with the human electroencephalogram (EEG) have interpreted slow oscillations (SOs) of the EEG during deep sleep (N3) as reflecting widespread surface-negative traveling waves that originate in frontal regions and propa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba08cae0eb9ac0d662d1fb3d76e37513
https://doi.org/10.1016/j.sleep.2021.07.028

Changes in P3b Latency and Amplitude Reflect Expertise Acquisition in a Football Visuomotor Learning Task.

Autor: Kyle K Morgan, Phan Luu, Don M Tucker

Publikováno v: PLoS ONE, Vol 11, Iss 4, p e0154021 (2016)

Learning is not a unitary phenomenon. Rather, learning progresses through stages, with the stages reflecting different challenges that require the support of specific cognitive processes that reflect the functions of different brain networks. A theor

Externí odkaz: https://doaj.org/article/c424ae8d481d4f8a94673ae27afe95db

Spatiotemporal Dynamics of Multiple Memory Systems During Category Learning

Autor: Don M. Tucker, Dagmar Zeithamova, Phan Luu, Kyle K. Morgan

Publikováno v: Brain Sciences
Volume 10
Issue 4
Brain Sciences, Vol 10, Iss 224, p 224 (2020)

The brain utilizes distinct neural mechanisms that ease the transition through different stages of learning. Furthermore, evidence from category learning has shown that dissociable memory systems are engaged, depending on the structure of a task. Thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac86256fd154ce18ff00250c9679d5b8
https://pubmed.ncbi.nlm.nih.gov/32283678

An improved artifacts removal method for high dimensional EEG

Autor: Catherine Poulsen, Erik Anderson, Kyle K. Morgan, Yasuhiro R. Tanaka, Amy Konyn, Don M. Tucker, Jidong Hou, Phan Luu

Publikováno v: Journal of neuroscience methods. 268

Background Multiple noncephalic electrical sources superpose with brain signals in the recorded EEG. Blind source separation (BSS) methods such as independent component analysis (ICA) have been shown to separate noncephalic artifacts as unique compon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d764822f19e31bfb58ff252c7cd8871c
https://pubmed.ncbi.nlm.nih.gov/27156989

Monsoonal variations of lead (Pb) in coastal waters around Singapore.

Autor: Chen M; Tropical Marine Science Institute, National University of Singapore, Singapore; Center of Environmental Sensing and Modelling, Singapore-MIT Alliance on Research and Technology, Singapore. Electronic address: mengli.chen@nus.edu.sg., Carrasco G; Tropical Marine Science Institute, National University of Singapore, Singapore; Center of Environmental Sensing and Modelling, Singapore-MIT Alliance on Research and Technology, Singapore; Earth Observatory of Singapore, Nanyang Technological University, Singapore., Park E; Earth Observatory of Singapore, Nanyang Technological University, Singapore; National Institute of Education, Nanyang Technological University, Singapore; Asian School of the Environment, Nanyang Technological University, Singapore., Morgan K; Earth Observatory of Singapore, Nanyang Technological University, Singapore; Asian School of the Environment, Nanyang Technological University, Singapore., Tay SHX; Tropical Marine Science Institute, National University of Singapore, Singapore., Tanzil J; Tropical Marine Science Institute, National University of Singapore, Singapore., Ooi SK; Tropical Marine Science Institute, National University of Singapore, Singapore; Department of Civil and Environmental Engineering, National University of Singapore, Singapore., Zhou K; Center of Environmental Sensing and Modelling, Singapore-MIT Alliance on Research and Technology, Singapore; College of Ocean and Earth Sciences, Xiamen University, Xiamen, China., Boyle EA; Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.

Publikováno v: Marine pollution bulletin [Mar Pollut Bull] 2022 Jun; Vol. 179, pp. 113654. Date of Electronic Publication: 2022 Apr 20.