@conference {4322,
	title = {To find better neural network models of human vision, find better neural network models of primate vision},
	booktitle = {BioRxiv},
	year = {2019},
	abstract = {<p>Specific deep artificial neural networks (ANNs) are the current best models of ventral visual processing and object recognition behavior in monkeys. We here explore whether models of non-human primate vision generalize to visual processing in the human primate brain. Specifically, we asked if model match to monkey IT is a predictor of model match to human IT, even when scoring those matches on different images. We found that the model match to monkey IT is a positive predictor of the model match to human IT (R = 0.36), and that this approach outperforms the current standard predictor of model accuracy on ImageNet. This suggests a more powerful approach for pre-selecting models as hypotheses of human brain processing.</p>
},
	url = {https://www.biorxiv.org/content/10.1101/688390v1.full},
	author = {K.M. Jozwik and Martin Schrimpf and Nancy Kanwisher and James J. DiCarlo}
}
