This renewed opportunity to transform our understanding of perceptual organization will require closer integration between segmentation experiments and algorithms. The examples discussed in this paper demonstrate encouraging initial steps towards this goal.

Ironically, this has happened at a time in which artificial networks have revolutionized automatic segmentation. Here we direct the spotlight on the convergence between new algorithms and experimental approaches to study segmentation of natural images.

Perceptual segmentation is central to how visual systems achieve their functional goals, yet research on human segmentation has fallen somewhat out of fashion in the last decade.

We will address this through an integrated behavioural, computational, and neurophysiological approach, focusing on how endogenous perceptual traits interact with the external factors.

PhD and postdoctoral positions linked to this project will be advertised in the coming months.
Stay tuned!

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