Martin Schrimpf

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?

Martin Schrimpf, Jonas Kubilius, Ha Hong et al. · 2018 · 493 citations · Full text

Convolutional Neural Network, Engineering, Object Categorization +24

The neural architecture of language: Integrative modeling converges on predictive processing

Martin Schrimpf, Idan Blank, Greta Tuckute et al. · Proceedings of the National Academy of Sciences · 2021 · 490 citations · Full text

Unsupervised neural network models of the ventral visual stream

Chengxu Zhuang, Siming Yan, Aran Nayebi et al. · Proceedings of the National Academy of Sciences · 2021 · 316 citations · Full text

Recurrent computations for visual pattern completion

Hanlin Tang, Martin Schrimpf, William Lotter et al. · Proceedings of the National Academy of Sciences · 2018 · 237 citations · Full text

Engineering, Affective Neuroscience, Recurrent Model +20

CORnet: Modeling the Neural Mechanisms of Core Object Recognition

Jonas Kubilius, Martin Schrimpf, Aran Nayebi et al. · 2018 · 201 citations · Full text

Object Categorization, Neural Networks (Machine Learning), Sensory Systems +23