Anthony J. Ries, Ph.D.
Affiliations: | Translational Neuroscience | U.S. Army Research Laboratory, Adelphi, MD, United States |
Area:
Visual AttentionGoogle:
"Anthony Ries"Mean distance: 16.17 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Joseph B. Hopfinger | grad student | 2001-2007 | UNC Chapel Hill | |
| (Magnocellular and parvocellular influences on reflexive attention.) | ||||
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Publications
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| Callahan-Flintoft C, Barentine C, Touryan J, et al. (2021) A Case for Studying Naturalistic Eye and Head Movements in Virtual Environments. Frontiers in Psychology. 12: 650693 |
| Thurman SM, Cohen Hoffing RA, Madison A, et al. (2021) "Blue Sky Effect": Contextual Influences on Pupil Size During Naturalistic Visual Search. Frontiers in Psychology. 12: 748539 |
| Stankov AD, Touryan J, Gordon S, et al. (2021) During natural viewing, neural processing of visual targets continues throughout saccades. Journal of Vision. 21: 7 |
| Enders LR, Smith RJ, Gordon SM, et al. (2021) Gaze Behavior During Navigation and Visual Search of an Open-World Virtual Environment. Frontiers in Psychology. 12: 681042 |
| Tenhundfeld NL, de Visser EJ, Ries AJ, et al. (2019) Trust and Distrust of Automated Parking in a Tesla Model X. Human Factors. 18720819865412 |
| Solon AJ, Lawhern VJ, Touryan J, et al. (2019) Decoding P300 Variability Using Convolutional Neural Networks. Frontiers in Human Neuroscience. 13: 201 |
| Cortney Bradford J, Lukos JR, Passaro A, et al. (2019) Effect of locomotor demands on cognitive processing. Scientific Reports. 9: 9234 |
| Ries AJ, Slayback D, Fulbright E, et al. (2019) Congruency Effects in the Attention Network Task: The Influence of Stimulus Onset Asynchrony and Eye Movements Journal of Vision. 19: 127 |
| Ries AJ, Slayback D, Touryan J. (2018) The fixation-related lambda response: Effects of saccade magnitude, spatial frequency, and ocular artifact removal. International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology. 134: 1-8 |
| Solon A, Gordon S, Ries A, et al. (2018) 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 Frontiers in Human Neuroscience. 12 |