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CORnet-S

A shallow recurrent model that follows neuroanatomy more closely than standard machine learning ANNs, and is among the top models on Brain-Score yet remains competitive on ImageNet and on transfer tests to CIFAR-100.

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Cite this as

Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Rishi Rajalingham, Elias B Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel LK Yamins, James J DiCarlo (2024). Dataset: CORnet-S. https://doi.org/10.57702/etxbtug1

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Jonas Kubilius
More Authors	Martin Schrimpf Kohitij Kar Rishi Rajalingham Elias B Issa Pouya Bashivan Jonathan Prescott-Roy Kailyn Schmidt Aran Nayebi Daniel Bear Daniel LK Yamins James J DiCarlo
Homepage	https://github.com/dicarlolab/cornet