| Brain-score: Which artificial neural network for object recognition is most brain-like? M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, EB Issa, K Kar, ... BioRxiv, 407007, 2018 | 502 | 2018 |
| Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior K Kar, J Kubilius, K Schmidt, EB Issa, JJ DiCarlo Nature neuroscience 22 (6), 974-983, 2019 | 444 | 2019 |
| Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks R Rajalingham, EB Issa, P Bashivan, K Kar, K Schmidt, JJ DiCarlo Journal of Neuroscience 38 (33), 7255-7269, 2018 | 378 | 2018 |
| Brain-like object recognition with high-performing shallow recurrent ANNs J Kubilius, M Schrimpf, K Kar, R Rajalingham, H Hong, N Majaj, E Issa, ... Advances in neural information processing systems 32, 2019 | 260 | 2019 |
| Comparison of object recognition behavior in human and monkey R Rajalingham, K Schmidt, JJ DiCarlo Journal of Neuroscience 35 (35), 12127-12136, 2015 | 113 | 2015 |
| Brain-score: Which artificial neural network for object recognition is most brain-like? bioRxiv [Preprint](2018) M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, EB Issa, K Kar, ... URL https://www. biorxiv. org/content/10.1101/407007v2, 2018 | 19 | 2018 |
| Can deep neural networks rival human ability to generalize in core object recognition J Kubilius, K Kar, K Schmidt, JJ DiCarlo Cognitive Computational Neuroscience, 2018a. URL https://ccneuro. org/2018 …, 2018 | 7 | 2018 |
| Evidence that feedback is required for object identity inferences computed by the ventral stream K Kar, J Kubilius, E Issa, K Schmidt, J DiCarlo Computational and Systems Neuroscience (Cosyne), 2017 | 5 | 2017 |
| Using brain-score to evaluate and build neural networks for brain-like object recognition M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, C Ziemba, ... Cosyne 19, 2019 | 2 | 2019 |
| Linking image-by-image population dynamics in the macaque inferior temporal cortex to core object recognition behavior K Kar, KM Schmidt, JJ DiCarlo Cognitive Computational Neuroscience, 2018b. URL https://ccneuro. org/2018 …, 2018 | 1 | 2018 |
| Chemogenetic suppression of macaque V4 neurons produces retinotopically specific deficits in downstream IT neural activity patterns and core object recognition behavior K Kar, M Schrimpf, K Schmidt, JJ DiCarlo Journal of Vision 21 (9), 2489-2489, 2021 | | 2021 |
| Comparison of Object Recognition Behavior in Human and Monkey R Rajalingham, K Schmidt, JJ DiCarlo Journal of Vision 14 (10), 191-191, 2014 | | 2014 |
| Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures J Kubilius, M Schrimpf, H Hong, NJ Majaj, R Rajalingham, EB Issa, K Kar, ... | | |
| Feedforward deep neural networks diverge from humans and monkeys on core visual object recognition behavior R Rajalingham, EB Issa, K Schmidt, K Kar, JJ DiCarlo | | |
