Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Stephen M. Gordon"'
Publikováno v:
NeuroImage, Vol 298, Iss , Pp 120781- (2024)
Objective: To date the vast majority of research in the visual neurosciences have been forced to adopt a highly constrained perspective of the vision system in which stimuli are processed in an open-loop reactive fashion (i.e., abrupt stimulus presen
Externí odkaz:
https://doaj.org/article/6cb839141bde4babacdc524d0d5bfd4f
Autor:
Leah R. Enders, Stephen M. Gordon, Heather Roy, Thomas Rohaly, Bianca Dalangin, Angela Jeter, Jessica Villarreal, Gary L. Boykin, Jonathan Touryan
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/ef0352934485489892d766461bcabb79
Autor:
Steven M. Thurman, Russell A. Cohen Hoffing, Anna Madison, Anthony J. Ries, Stephen M. Gordon, Jonathan Touryan
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Pupil size is influenced by cognitive and non-cognitive factors. One of the strongest modulators of pupil size is scene luminance, which complicates studies of cognitive pupillometry in environments with complex patterns of visual stimulation. To hel
Externí odkaz:
https://doaj.org/article/dca1805ef0c74100b7e39aa946ef361a
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Eye tracking has been an essential tool within the vision science community for many years. However, the majority of studies involving eye-tracking technology employ a relatively passive approach through the use of static imagery, prescribed motion,
Externí odkaz:
https://doaj.org/article/cb2d317f99d04cd8ace7619025b5ea7f
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
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Publikováno v:
Journal of Advanced Military Studies. 12:182-198
Nothing connects people more powerfully than well-told stories. Humans have been telling each other stories since long before they could write them down. Sharing stories is a critical part of building trust with others, and that trust is essential to
Eye tracking has been an essential tool within the vision science community for many years. However, the majority of studies involving eye-tracking technology employ a relatively passive approach through the use of static imagery, prescribed motion,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aa1edc5406ed406fdc7bc6656e76dc1
https://doi.org/10.1101/2021.03.30.437718
https://doi.org/10.1101/2021.03.30.437718
Publikováno v:
SMC
New research and development efforts are highlighting the ways in which electroencephalogram-based (EEG) brain-computer interface (BCI) technology can be used to improve the quality of life for healthy individuals. One such application incorporates c
Autor:
Joe T. Rexwinkle, Ali Mahdi, Vernon J. Lawhern, Chou P. Hung, Gabriella Brick Larkin, John Choi, Jonathan Touryan, Osben Toulson, Brent J. Lance, Stephen M. Gordon, Steven Gutstein
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
The application of Artificial Intelligence and Machine Learning (AI/ML) technologies to Aided Target Recognition (AiTR) systems will significantly improve target acquisition and engagement effectiveness. Although, the effectiveness of these AI/ML tec