Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Urs Ribary"'
Autor:
Vardhan Paliwal, Kritiprasanna Das, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Ram Bilas Pachori, Vasily A. Vakorin
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2038-2048 (2024)
Electroencephalogram (EEG) is widely used in basic and clinical neuroscience to explore neural states in various populations, and classifying these EEG recordings is a fundamental challenge. While machine learning shows promising results in classifyi
Externí odkaz:
https://doaj.org/article/a9cd60afbcfd47d2b623585907981b66
Autor:
Evan A. Hutcheon, Vasily A. Vakorin, Adonay S. Nunes, Urs Ribary, Sherri Ferguson, Victoria E. Claydon, Sam M. Doesburg
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Normobaric hypoxia (NH) and hypobaric hypoxia (HH) are both used to train aircraft pilots to recognize symptoms of hypoxia. NH (low oxygen concentration) training is often preferred because it is more cost effective, simpler, and safer than
Externí odkaz:
https://doaj.org/article/52ddda025fde46328b23f0d33218bf65
Autor:
Amparo V. Márquez-García, Vasily A. Vakorin, Nataliia Kozhemiako, Justine R. Magnuson, Grace Iarocci, Urs Ribary, Sylvain Moreno, Sam M. Doesburg
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Children with autism spectrum disorder (ASD) experience difficulties with social communication, making it challenging to interpret contextual information that aids in accurately interpreting language. To investigate how the brain processes t
Externí odkaz:
https://doaj.org/article/1bd166751ffd49ea8c5a4ae450cdd2ce
Autor:
Evan A. Hutcheon, Vasily A. Vakorin, Adonay Nunes, Urs Ribary, Sherri Ferguson, Victoria E. Claydon, Sam M. Doesburg
Publikováno v:
Human Brain Mapping. 44:2345-2364
Autor:
Adonay S. Nunes, Nataliia Kozhemiako, Alexander Moiseev, Robert A. Seymour, Teresa P.L. Cheung, Urs Ribary, Sam M. Doesburg
Publikováno v:
NeuroImage, Vol 216, Iss , Pp 116414- (2020)
Naturalistic stimuli such as watching a movie while in the scanner provide an ecologically valid paradigm that has the potential of extracting valuable information on how the brain processes complex stimuli in realistic visual and auditory contexts.
Externí odkaz:
https://doaj.org/article/1beca041305042648d9073b4a5d4bb88
Autor:
Adonay S. Nunes, Alexander Moiseev, Nataliia Kozhemiako, Teresa Cheung, Urs Ribary, Sam M. Doesburg
Publikováno v:
NeuroImage, Vol 208, Iss , Pp 116386- (2020)
Functional brain connectivity is increasingly being seen as critical for cognition, perception and motor control. Magnetoencephalography and electroencephalography are modalities that offer noninvasive mapping of electrophysiological interactions amo
Externí odkaz:
https://doaj.org/article/e5a9844da99e409993b01352b7f6c339
Autor:
Adonay S. Nunes, Nataliia Kozhemiako, Evan Hutcheon, Cecil Chau, Urs Ribary, Ruth E. Grunau, Sam M. Doesburg
Publikováno v:
NeuroImage: Clinical, Vol 27, Iss , Pp 102275- (2020)
Children born very preterm, even in the absence of overt brain injury or major impairment, are at increased risk of cognitive difficulties. This risk is associated with developmental disruptions of the thalamocortical system during critical periods w
Externí odkaz:
https://doaj.org/article/936dc1ae98e24eb1bd70d273d0cbe6e1
Autor:
Justine R. Magnuson, Nicholas A. Peatfield, Shaun D. Fickling, Adonay S. Nunes, Greg Christie, Vasily Vakorin, Ryan C. N. D’Arcy, Urs Ribary, Grace Iarocci, Sylvain Moreno, Sam M. Doesburg
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
Autism Spectrum Disorder (ASD) is an increasingly common developmental disorder that affects 1 in 59 children. Despite this high prevalence of ASD, knowledge regarding the biological basis of its associated cognitive difficulties remains scant. In th
Externí odkaz:
https://doaj.org/article/ec241e50cdd34e468f15be083bc85679
Publikováno v:
Frontiers in Neural Circuits, Vol 12 (2019)
Methods of functional connectivity are applied ubiquitously in studies involving non-invasive whole-brain signals, but may be not optimal for exploring the propagation of the steady-state responses, which are strong oscillatory patterns of neurodynam
Externí odkaz:
https://doaj.org/article/c02fd96f9abb4d5aad95b378c1af7208
Autor:
Mykola Klymenko, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Vasily A. Vakorin
Our study considered the problem of classifying routine clinical EEG. We incorporated NLP tools into the workflow for time series classification. We transformed EEG signals into strings of symbols. We then applied byte-pair encoding (BPE) to split th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1194b853c4d6646a392c675098e679a1
https://doi.org/10.36227/techrxiv.21235593.v1
https://doi.org/10.36227/techrxiv.21235593.v1