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Frank Tong studies the neural bases of visual perception, attention, face and object recognition, and visual working memory, by using computational approaches to analyze behavioral performance and human neuroimaging data. His lab uses advanced multivariate approaches to decode detailed information from brain activity patterns, and modeling-based approaches to characterize human behavioral performance. Techniques in the lab include visual psychophysics, high resolution fMRI at 7T, computational modeling, and most recently, comparisons between human perception and convolutional neural networks.
2010 - Troland Research Award, National Academy of Sciences
2010 - Troland Research Award, National Academy of Sciences
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bioRxiv : the preprint server for biology (2023)
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Stevens' Handbook of Experimental Psychology and Cognitive Neurosciencepp.1-61, (2018)
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