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PART–WHOLE REPRESENTATIONS IN LARGE VISION MODELS
Gabriel Mel
Centre de Recerca Matematica
FENS Forum 2026 (2026)
Barcelona, Spain
Board PS01-07AM-341
Presentation
Date TBA
Board: PS01-07AM-341
Event Information
Poster Board
PS01-07AM-341
Poster
View posterAbstract
Foundation models provide a model system that (arguably) exhibits visual intelligence, is fully accessible to intervention and readout at all levels, and can communicate about its own internal states using natural language. Not only are such models an obvious experimental subject for visual neuroscience, they are also scientifically interesting objects of study in their own right. Drawing on ideas from visual psychology, systems neuroscience, and vision theory, we investigate how visual information is represented and transformed in multiple foundation models. Focusing on a particularly important aspects of visual function - part-whole structure - we find that models converge on broadly similar representation strategies, yielding a testable prediction for how part-whole structure in visual inputs is represented in the brain.
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