Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yelena Tonoyan"'
Publikováno v:
NeuroImage, Vol 264, Iss , Pp 119707- (2022)
Time is as pervasive as it is elusive to study, and how the brain keeps track of millisecond time is still unclear. Here we addressed the mechanisms underlying duration perception by looking for a neural signature of subjective time distortion induce
Externí odkaz:
https://doaj.org/article/276aab48dece48deb6b638405394ff43
Autor:
Paruthi Pradhapan, Emmanuel Rios Velazquez, Jolanda A. Witteveen, Yelena Tonoyan, Vojkan Mihajlović
Publikováno v:
Sensors, Vol 20, Iss 23, p 6810 (2020)
Assessing the human affective state using electroencephalography (EEG) have shown good potential but failed to demonstrate reliable performance in real-life applications. Especially if one applies a setup that might impact affective processing and re
Externí odkaz:
https://doaj.org/article/b1beb082592f4c8da3052009399a65fe
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0186916 (2017)
A data-adaptive, multiscale version of Rényi's quadratic entropy (RQE) is introduced for emotional state discrimination from EEG recordings. The algorithm is applied to scalp EEG recordings of 30 participants watching 4 emotionally-charged video cli
Externí odkaz:
https://doaj.org/article/7dbd3d755e514fdf913c96601a7497cb
Publikováno v:
BioRxiv
bioRxiv
bioRxiv
Time is as pervasive as it is elusive to study, and how the brain keeps track of millisecond time is still unclear. Here we addressed the mechanisms underlying duration perception by looking for a neural signature of subjective time distortion induce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe2ccfc5f18a58aa9532122f819990d4
https://pubmed.ncbi.nlm.nih.gov/36341952
https://pubmed.ncbi.nlm.nih.gov/36341952
Autor:
Emmanuel Rios Velazquez, Paruthi Pradhapan, Yelena Tonoyan, Vojkan Mihajlovic, Jolanda Witteveen
Publikováno v:
Sensors, Vol 20, Iss 6810, p 6810 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 23
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 23
Assessing the human affective state using electroencephalography (EEG) have shown good potential but failed to demonstrate reliable performance in real-life applications. Especially if one applies a setup that might impact affective processing and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c226da394c5a59778f1631a1c7c999a3
https://www.mdpi.com/1424-8220/20/23/6810
https://www.mdpi.com/1424-8220/20/23/6810
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0186916 (2017)
PLoS ONE
PLoS ONE
A data-adaptive, multiscale version of Rényi's quadratic entropy (RQE) is introduced for emotional state discrimination from EEG recordings. The algorithm is applied to scalp EEG recordings of 30 participants watching 4 emotionally-charged video cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9774f84aeb1a89d490d2386feb034c06
http://europepmc.org/articles/PMC5669426?pdf=render
http://europepmc.org/articles/PMC5669426?pdf=render
A multivariate sample entropy metric of signal complexity is applied to EEG data recorded when subjects were viewing 4 prior-labeled emotion-inducing video clips from a publically available, validated database. Besides emotion category labels, the vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ad1425505775cf1f39d10812f7d21d
https://lirias.kuleuven.be/handle/123456789/528957
https://lirias.kuleuven.be/handle/123456789/528957
Publikováno v:
MLSP
The ability to monitor or even to predict the performance level of a subject when engaged in a cognitive task can be useful in various real-life scenarios. In this article we focus on a popular EEG-based Brain Computer Interface (BCI) paradigm and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b970877f8cc6d4d3e0dbb38586192fdf
https://doi.org/10.1109/mlsp.2014.6958897
https://doi.org/10.1109/mlsp.2014.6958897