Frank Tong
Affiliations: | Vanderbilt University, Nashville, TN |
Area:
Visual cortex, attention, object visionWebsite:
http://www.psy.vanderbilt.edu/tonglab/Google:
"Frank Tong"Mean distance: 12.59 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentorNancy Kanwisher | grad student | MIT | |
Ken Nakayama | grad student | Harvard | |
Stephen A. Engel | post-doc | UCLA |
Children
Sign in to add traineeCollaborators
Sign in to add collaboratorJohanna Bergmann | collaborator | ||
Yukiyasu Kamitani | collaborator | ATR |
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Publications
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Sy JL, Miao HY, Marois R, et al. (2021) Conscious perception can be both graded and discrete. Journal of Experimental Psychology. General |
Poltoratski S, Tong F. (2020) Resolving the spatial profile of figure enhancement in human V1 through population receptive field modeling. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
Poltoratski S, Maier A, Newton AT, et al. (2019) Figure-Ground Modulation in the Human Lateral Geniculate Nucleus Is Distinguishable from Top-Down Attention. Current Biology : Cb |
Michel M, Beck D, Block N, et al. (2019) Opportunities and challenges for a maturing science of consciousness. Nature Human Behaviour. 3: 104-107 |
Andersen LM, Overgaard M, Tong F. (2019) Visual expectations change subjective experience without changing performance. Consciousness and Cognition. 71: 59-69 |
Jang H, Tong F. (2019) Visual crowding disrupts the cortical representation of letters in early visual areas Journal of Vision. 19: 65c |
Tong F, McDowell MG, Winter WR, et al. (2019) A novel learning-based paradigm to investigate the visual-cognitive bases of lung nodule detection Journal of Vision. 19: 255 |
Keefe JM, Sy JL, Tong F, et al. (2018) The emotional attentional blink is robust to divided attention. Attention, Perception & Psychophysics |
Rademaker RL, Park YE, Sack AT, et al. (2018) Evidence of gradual loss of precision for simple features and complex objects in visual working memory. Journal of Experimental Psychology. Human Perception and Performance |
JANG H, TONG F. (2018) Can deep learning networks acquire the robustness of human recognition when faced with objects in visual noise? Journal of Vision. 18: 903 |