@article {5313,
	title = {CNNs reveal the computational implausibility of the expertise hypothesis},
	journal = {iScience},
	volume = {26},
	year = {2023},
	month = {02/2023},
	pages = {105976},
	abstract = {<p>Face perception has long served as a classic example of domain specificity of mind and brain. But an alternative {\textquotedblleft}expertise{\textquotedblright} hypothesis holds that putatively face-specific mechanisms are actually domain-general, and can be recruited for the\&nbsp;perception of other objects of expertise (e.g., cars for car experts). Here, we demonstrate the computational implausibility of this hypothesis: Neural network\&nbsp;models optimized for generic object categorization provide a better foundation for expert fine-grained discrimination than do models optimized for face recognition.</p>
},
	issn = {25890042},
	doi = {10.1016/j.isci.2023.105976},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S2589004223000536},
	author = {Kanwisher, Nancy and Gupta, Pranjul and Dobs, Katharina}
}
