Mechanisms of visual attention -Our lab investigates how bottom-up saliency and top-down attentional signals interact in the early visual system. We are also developing a neurocomputational model of how attention serves to enhance the representation of attended visual objects in cluttered or noisy environments. .

Relevant Publications

Kamitani, Y., Tong, F. (2005). Decoding the visual and subjective contents of the human brain. Nature Neuroscience, 8: 679-85.

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Kamitani, Y., & Tong, F. (2006). Decoding seen and attended motion directions from activity in the human visual cortex. Current Biology, 16, 1096-1102.

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Jehee, J. F. M., Brady, D. K., & Tong, F. (2011). Attention Improves Encoding of Task-Relevant Features in the Human Visual Cortex. Journal of Neuroscience, 31(22): 8210-8219.

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Pratte, M. S., Ling, S., Swisher, J. D., & Tong, F. (2013). How attention extracts objects from noise. Journal of Neurophysiology, 110(6), 1346-1356.

Cohen, E. C., & Tong, F. (2015). Neural mechanisms of object-based attention. Cerebral Cortex, 25(4), 1080-1092.

Ling, S., Pratte, M. S., & Tong, F. (2015). Attention alters orientation processing in the human lateral geniculate nucleus. Nature Neuroscience, 18(4), 496-498.

Poltoratski, S., Ling, S., McCormack, D., & Tong, F. (2017). Contrasting salience and attention in the early visual system. Journal of Neurophysiology, 118(1), 564-573.