Research

Our research aims to build a quantitative understanding of the underlying neural organization and computations that support and limit our visual perception, and how these computations are modulated by higher cognition.

To answer our questions, we use behavioral psychophysics, eye tracking, MRI, EEG/MEG techniques in combination with computational modeling.

The current major topics in the lab are:

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Spatiotemporal visual processing

How is visual information processed at different stages of the human visual pathways? And how do these processes (or computations) enable and limit the way we see?

We are currently investigating how human visual cortex processes visual inputs over space and in time, and how these computations by visual neurons may set a capacity limit to the amount of visual information we can process at a given time.

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Influence of task on stimulus-driven responses

Human vision is an active process, not just passive perception. Yet, it remains unclear how performing different types of tasks affects the stimulus-driven representation in visual cortex.

We are currently working with Dr. Kendrick Kay and the CVN lab at the University of Minnesota, as well as Dr. Clay Curtis at New York University to collect a massive 7T fMRI dataset that samples how different tasks may affect brain responses to identical visual stimuli in human visual cortex.

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