• DECODING ORIENTATION AND MOTION HIGH-RESOLUTION fMRI AT 7 TESLA The Tong Lab performs fMRI studies at 7 Tesla to investigate the neural bases of visual perception, attentional selection, working memory, figure-ground processing, predictive coding, and object recognition.
  • FACE AND OBJECT PROCESSING FACE AND OBJECT PROCESSING We study the neurocomputational bases of face and object processing using behavioral methods, functional neuroimaging, TMS, and the development of convolutional neural networks (CNNs) as a model for human recognition performance.
  • MECHANISMS OF VISUAL ATTENTION 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 and testing a neurocomputational model of object-based attentional selection.
  • VISUAL WORKING MEMORY VISUAL WORKING MEMORY The Tong Lab pursues research on the behavioral and neural bases of visual working memory. Our goal is to characterize and model the neural representations that underlie visual working memory.
  • DEEP LEARNING NETWORKS DEEP LEARNING NETWORKS OF VISUAL PROCESSING We are investigating new architectures and learning regimes to evaluate deep neural networks as potential models of human visual performance, especially for object recognition tasks.

     

RECENT PUBLICATIONS

Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal core differences between face and object processing.

Jang, H. & Tong, F. (2021).

Journal of Vision, in press, 18:496-498.

Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images.

Jang, H., McCormack, D., & Tong, F. (2021).

PLOS Biology, in press, 18:496-498.

Resolving the spatial profile of figure enhancement in human V1 through population receptive field modeling.

Poltoratski, S., & Tong, F. (2020).

Journal of Neuroscience, 40(16) 3292-3303.

Figure-ground modulation in the human lateral geniculate nucleus is distinguishable from top-down attention.

Poltoratski, S., Maier, A., Newton, A. T., Tong, F. (2019).

Current Biology, 29(12), 2051-2057.

ANNOUNCEMENTS

October 2021

The TONGLAB seeks to recruit a postdoctoral fellow to the lab. For more details, click here.

December 2020

The lab begins a 5-year NIH-funded project on medical image perception and lung nodule detection, supported by the National Cancer Institute.

August 2020

Kaylee Bashor has joined the lab as a research analyst. Welcome Kaylee!

September 2019

Tim Kietzmann begins his new position as assistant professor at the Donders Institute for Brain, Cognition and Behaviour. Congrats Tim!

July 2019

Frank presents a new branch of the lab's research on how people gain expertise at detecting lung nodules in chest X-rays at the Medical Image Perception Society conference.

March 2019

Sonia and Frank's paper showing Figure-ground in the human lateral geniculate nucleus is published in Current Biology

David Coggan has joined the lab as the new Postdoctoral Scholar. Welcome, Dave!

January 2019

Frank has been appointed Centennial Professor of Psychology, congrats!

September 2018

The lab begins its work on a 4-year NEI funded project to investigate the perceptual functions of the early visual system, including the functional role of top-down feedback to the LGN.

OLDER ANNOUNCEMENTS