PSA2016: The 25th Biennial Meeting of the Philosophy of Science Association

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Hierarchies in the Visual System

Hierarchical Bayesian models have advanced our understanding of vision, and the variety of processes that are captured by such models has led some to suggest that the visual cortex might have an overall hierarchical Bayesian structure. Against this Strong Inference, we argue that there are multiple hierarchies at work in such models, which diverge from one another. Thus, we argue that the visual system is best understood not in terms of a single model, but by multiple models. While hierarchical models are important for understanding vision, it remains an open question whether we are uncovering a single visual hierarchy.

Author Information:

Bryan Chambliss    
University of Arizona

Oisin Deery    


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