|Title||CNNs reveal the computational implausibility of the expertise hypothesis|
|Publication Type||Journal Article|
|Year of Publication||2023|
|Authors||Kanwisher, N, Gupta, P, Dobs, K|
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.
- CBMM Funded