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CNNs reveal the computational implausibility of the expertise hypothesis.

In iScience

Face perception has long served as a classic example of domain specificity of mind and brain. But an alternative "expertise" hypothesis holds that putatively face-specific mechanisms are actually domain-general, and can be recruited for the perception of other objects of expertise (e.g., cars for car experts). Here, we demonstrate the computational implausibility of this hypothesis: Neural network models optimized for generic object categorization provide a better foundation for expert fine-grained discrimination than do models optimized for face recognition.

Kanwisher Nancy, Gupta Pranjul, Dobs Katharina

2023-Feb-17

Artificial intelligence, Artificial intelligence applications, Cognitive neuroscience