SOURCE-LINKED INTELLIGENCE

Uncovering the core dimensions of visual object representations

CORDIS · observation · Publication date unknown

erization of the core dimensions underlying visual object representations. To reach this goal, COREDIM capitalizes on extensive, targeted sampling of behavioral and neuroimaging data and cutting-edge artificial intelligence methods that allow the identification of interpretable representational dimensions. Project 1 aims at uncovering the core representational dimensions of objects across ventral visual cortex, using a biologically-inspired neural network model tailored to each individual’s functional neuroanatomy and trained to identify the most informative stimuli. Project 2 will identify the relative role of vision and semantic knowledge in shaping our core representational dimensions, through experimental manipulations at the level of the stimulus, task, and with cross-species comparisons. Together, COREDIM promises to transform our understanding of visual processing, laying the foundation for a comprehensive characterization of visual cortex function. object recognition; vision; perception; representation; fMRI; MEG

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recordType

award

status

SIGNED

region

EU

value

1500000

unit

EUR