Year |
Citation |
Score |
2024 |
Hosseini EA, Schrimpf M, Zhang Y, Bowman S, Zaslavsky N, Fedorenko E. Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training. Neurobiology of Language (Cambridge, Mass.). 5: 43-63. PMID 38645622 DOI: 10.1162/nol_a_00137 |
0.316 |
|
2024 |
DiCarlo JJ, Yamins DLK, Ferguson ME, Fedorenko E, Bethge M, Bonnen T, Schrimpf M. Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision - CORRIGENDUM. The Behavioral and Brain Sciences. 47: e66. PMID 38305315 DOI: 10.1017/S0140525X23003564 |
0.546 |
|
2024 |
Tuckute G, Sathe A, Srikant S, Taliaferro M, Wang M, Schrimpf M, Kay K, Fedorenko E. Driving and suppressing the human language network using large language models. Nature Human Behaviour. PMID 38172630 DOI: 10.1038/s41562-023-01783-7 |
0.321 |
|
2023 |
DiCarlo JJ, Yamins DLK, Ferguson ME, Fedorenko E, Bethge M, Bonnen T, Schrimpf M. Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision. The Behavioral and Brain Sciences. 46: e390. PMID 38054303 DOI: 10.1017/S0140525X23001607 |
0.601 |
|
2023 |
Tuckute G, Sathe A, Srikant S, Taliaferro M, Wang M, Schrimpf M, Kay K, Fedorenko E. Driving and suppressing the human language network using large language models. Biorxiv : the Preprint Server For Biology. PMID 37090673 DOI: 10.1101/2023.04.16.537080 |
0.316 |
|
2021 |
Schrimpf M, Blank IA, Tuckute G, Kauf C, Hosseini EA, Kanwisher N, Tenenbaum JB, Fedorenko E. The neural architecture of language: Integrative modeling converges on predictive processing. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 34737231 DOI: 10.1073/pnas.2105646118 |
0.465 |
|
2021 |
Zhuang C, Yan S, Nayebi A, Schrimpf M, Frank MC, DiCarlo JJ, Yamins DLK. Unsupervised neural network models of the ventral visual stream. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 33431673 DOI: 10.1073/pnas.2014196118 |
0.564 |
|
2020 |
Schrimpf M, Kubilius J, Lee MJ, Ratan Murty NA, Ajemian R, DiCarlo JJ. Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence. Neuron. PMID 32918861 DOI: 10.1016/J.Neuron.2020.07.040 |
0.555 |
|
2018 |
Tang H, Schrimpf M, Lotter W, Moerman C, Paredes A, Ortega Caro J, Hardesty W, Cox D, Kreiman G. Recurrent computations for visual pattern completion. Proceedings of the National Academy of Sciences of the United States of America. PMID 30104363 DOI: 10.1073/Pnas.1719397115 |
0.534 |
|
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