In our research, we have revealed a unique pattern of neural interactions, both excitatory and inhibitory, underlying global behavior involved in contour integration and texture segmentation. Specifically, a network of long-range intra-cortical connections supporting integration of collinear elements of the visual input is characterized beyond its spatial properties, especially emphasizing the temporal dynamics. Developing of training protocols based on spatial and temporal masking paradigms is another area of interest. Studies on the effects of perceptual learning on visual function are conducted, including cases of abnormal visual development, considered as untreatable, such as amblyopia.

The laboratory combines techniques such as psychophysics, visual evoked potentials (VEP), event-related potentials (ERP) and eye movement recording. Computational modeling of neural networks of long-range interactions provide theoretical framework for our empirical findings.