Uncovering the neural code supporting human vision

• How does visual information falling on the eyes change across successive cortical regions?  

• How is visual information organized in the human visual system?

• What are the evolutionary and developmental pressures that guide this organization?

• What do variations in visual processing abilities across individuals and species tell us about human vision?

• How do we overcome the limits of current human neuroimaging methods?

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Linking artificial and biological vision

• How do we model biological visual processing with artificial neural networks?

• What are the limitations of current artificial vision systems and what does it mean for computer vision systems?

• How can biological understanding lead to breakthroughs?

• How close are we to creating a fully in-silico instantiation of the human visual cortex?

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Linking neural representations with visual perception

• What is the mechanistic link between neural measurements and vision behaviors?

• What is the extent of behavioral variance that can be predicted by neuroimaging methods?

• How close are we to predicting visual deficits in response to neurological impairments?

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Uncovering the link between neural representations and behavioral visual perception

• What do deficits in visual processing abilities tell us about the neural code supporting vision?

• How do we leverage computational models to study the neural basis of visual deficits?

• How well can we simulate/predict visual perceptual deficits using computational models? 

• How can engineering innovation lead to the development of assistive devices that enhance or substitute visual perception for those with deficits?

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Beyond vision

• What computational principles overlap and diverge across various sensory systems?

• What aspects of visual information is relayed to other post-perceptual systems (decision making, planning, memory, and language)?