Výsledky vyhledávání - "Amelia J. Solon"

Akademický článek

Decoding P300 Variability Using Convolutional Neural Networks

Autor: Amelia J. Solon, Vernon J. Lawhern, Jonathan Touryan, Jonathan R. McDaniel, Anthony J. Ries, Stephen M. Gordon

Publikováno v: Frontiers in Human Neuroscience, Vol 13 (2019)

Deep convolutional neural networks (CNN) have previously been shown to be useful tools for signal decoding and analysis in a variety of complex domains, such as image processing and speech recognition. By learning from large amounts of data, the repr

Externí odkaz: https://doaj.org/article/f53c7537aa30450dadbc4df864a0a38a

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Analyzing P300 Distractors for Target Reconstruction

Autor: Vernon J. Lawhern, Stephen M. Gordon, Amelia J. Solon, Jonathan R. McDaniel

Publikováno v: EMBC

P300-based brain-computer interfaces (BCIs) are often trained per-user and per-application space. Training such models requires ground truth knowledge of target and non-target stimulus categories during model training, which imparts bias into the mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5be5b2356a98707a7a43adf263130e39
http://arxiv.org/abs/1807.04334

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Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings

Autor: Amelia J. Solon, Vernon J. Lawhern, Jonathan R. McDaniel, Stephen M. Gordon

Publikováno v: SMC

Humans can fluidly adapt their interest in complex environments in ways that machines cannot. Here, we lay the groundwork for a real-world system that passively monitors and merges neural correlates of visual interest across team members via Collabor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0c97c56a648f1a584056e0bd2982ed

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Using Deep Convolutional Neural Networks to Develop the Next Generation of Sensors for Interpreting Real World EEG Signals Part 1: Sensing Visual System Function in Naturalistic Environments

Autor: Anthony J. Ries, Jonathan R. McDaniel, Stephen V. Gordon, Jonathan Touryan, Vernon J. Lawhern, Amelia J. Solon

Publikováno v: Frontiers in Human Neuroscience. 12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::007221c07035f10759ae12a89ee95448
https://doi.org/10.3389/conf.fnhum.2018.227.00023

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Using Deep Convolutional Neural Networks to Develop the Next Generation of Sensors for Interpreting Real World EEG Signals Part 2: Developing Sensors for Vigilance Detection

Autor: Amar R. Marathe, Stephen M. Gordon, Jonathan R. McDaniel, Vernon J. Lawhern, Amelia J. Solon, Jason S. Metcalfe

Publikováno v: Frontiers in Human Neuroscience. 12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7425676f9401b377be4dfb8315a8f148
https://doi.org/10.3389/conf.fnhum.2018.227.00037

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EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Autor: Vernon J. Lawhern, Stephen M. Gordon, Chou P. Hung, Brent J. Lance, Amelia J. Solon, Nicholas R. Waytowich

Publikováno v: Journal of Neural Engineering. 15:056013

Brain computer interfaces (BCI) enable direct communication with a computer, using neural activity as the control signal. This neural signal is generally chosen from a variety of well-studied electroencephalogram (EEG) signals. For a given BCI paradi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96855c8a09e70b57b050734111198ef0
https://doi.org/10.1088/1741-2552/aace8c

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