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.

Data and Resources

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

DOI retrieved: December 3, 2024

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