Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Lenis Mauricio Merino"'
Autor:
Lenis Mauricio Merino, Tapsya Nayak, Prasanna Kolar, Daniel Pack, Garrett Hall, Zijing Mao, Yufei Huang
Publikováno v:
Brain-Computer Interfaces. 4:122-135
The goal of this study is to design an asynchronous steady-state visual evoked potential (SSVEP) BCI system to enable control of an unmanned aerial vehicle (UAV) with multiple commands. An SSVEP-based BCI system with six different flickering frequenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa5c0f4dc3417e5144ed3738ff32a3d
https://doi.org/10.1080/2326263x.2017.1292721
https://doi.org/10.1080/2326263x.2017.1292721
Publikováno v:
EMBC
We consider the detection of the control or idle state in an asynchronous Steady-state visually evoked potential (SSVEP)-based brain computer interface system. We propose a likelihood ratio test using Canonical Correlation Analysis (CCA) scores calcu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae974208bb03d5ac8aeb72b1c318af7
https://pubmed.ncbi.nlm.nih.gov/28268627
https://pubmed.ncbi.nlm.nih.gov/28268627
Autor:
Li Deng, Yufei Huang, Kay A. Robbins, Vernon J. Lawhern, Lenis Mauricio Merino, Brent J. Lance, Kenneth R. Ball, Zijing Mao
Publikováno v:
ChinaSIP
Deep learning solutions based on deep neural networks (DNN) and deep stack networks (DSN) were investigated for classifying target images in a non-time-Iocked rapid serial visual presentation (RSVP) image target identification task using EEG. Several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5369b24945da7578140a9fbde5d876e8
https://doi.org/10.1109/chinasip.2014.6889297
https://doi.org/10.1109/chinasip.2014.6889297
Publikováno v:
Neuroinformatics. 12(2)
Classification based on EEG data in an RSVP experiment is considered. Although the latency in neural response relative to the stimulus onset time may be more realistically considered to vary across trials due to factors such as subject fatigue and en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ff70993b6388d691fd8250de13712d6
https://pubmed.ncbi.nlm.nih.gov/24037139
https://pubmed.ncbi.nlm.nih.gov/24037139
Autor:
Jean M. Vettel, Jia Meng, Kay A. Robbins, Brent J. Lance, Yufei Huang, Tony Johnson, Stephen M. Gordon, Lenis Mauricio Merino, Victor Paul
Publikováno v:
ICASSP
Neurotechnologies based on electroencephalography (EEG) and other physiological measures to improve task performance in complex environments will require tools and analysis methods that can account for increased environmental noise and task complexit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c036b826b4f8214bf67663854936963f
https://doi.org/10.1109/icassp.2013.6637846
https://doi.org/10.1109/icassp.2013.6637846
Publikováno v:
SSP
In this paper, the problem of automatic characterizing and detecting target images in an image rapid serial visual presentation (RSVP) task based on EEG data is considered. A novel method that aims at identifying event-related potentials (ERPs) in ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e69a4f62cfc47f1090337d89be694d8a
https://doi.org/10.1109/ssp.2012.6319790
https://doi.org/10.1109/ssp.2012.6319790
Publikováno v:
SSP
This paper considers the problem of classification of electroencephalography (EEG) recordings without the precise time locking between stimulus presentation times and the recorded EEG waveforms. Traditionally, time locking, or perfect timing, informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18ce05e33f699a7e704e2605bc6c40a0
https://doi.org/10.1109/ssp.2012.6319727
https://doi.org/10.1109/ssp.2012.6319727
Autor:
Lenis Mauricio Merino, Nima Bigdely Shamlo, Scott Makeig, Kay A. Robbins, Yufei Huang, Jia Meng
Publikováno v:
PLoS ONE, Vol 7, Iss 9, p e44464 (2012)
PLoS
PLoS ONE
PloS one, vol 7, iss 9
PLoS
PLoS ONE
PloS one, vol 7, iss 9
UnlabelledThis paper considers the problem of automatic characterization and detection of target images in a rapid serial visual presentation (RSVP) task based on EEG data. A novel method that aims to identify single-trial event-related potentials (E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be0455c8ba165658ab4b7642fd17fb1d
http://europepmc.org/articles/PMC3445552?pdf=render
http://europepmc.org/articles/PMC3445552?pdf=render
Autor:
Lenis Mauricio Merino, Luis Mendoza
Publikováno v:
2010 IEEE ANDESCON.
This work introduces a new technique of robust compression on signals and images, known as Compressive Sensing (CS). It is a new and advanced technique which can reconstruct sparse signals from a few random acquired samples, achieved to avoid the Nyq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc54dd83d998ded51d03a9611a34ef6
https://doi.org/10.1109/andescon.2010.5633063
https://doi.org/10.1109/andescon.2010.5633063
Publikováno v:
PLoS ONE, Vol 7, Iss 9, p e44464 (2012)
This paper considers the problem of automatic characterization and detection of target images in a rapid serial visual presentation (RSVP) task based on EEG data. A novel method that aims to identify single-trial event-related potentials (ERPs) in ti
Externí odkaz:
https://doaj.org/article/be87dd4fd42f4704b22d647e3d2ffa38