Nastase, Samuel A.

Shared computational principles for language processing in humans and deep language models

Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., et al. (2022) · Nature Neuroscience

Neurobiology of Language and BilingualismReading and Literacy Development

Cited by 447

Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks

Hasson, U., Nastase, S. A., & Goldstein, A. (2020) · Neuron

Neural Networks and ApplicationsEmbodied and Extended Cognition

Cited by 387

Information flow across the cortical timescale hierarchy during narrative construction

Chang, C. H. C., Nastase, S. A., & Hasson, U. (2022) · Proceedings of the National Academy of Sciences

Neurobiology of Language and BilingualismFunctional Brain Connectivity Studies

Cited by 92

Reliable individual differences in fine-grained cortical functional architecture

Feilong, M., Nastase, S. A., Guntupalli, J. S., & Haxby, J. V. (2018) · NeuroImage

Functional Brain Connectivity StudiesVisual perception and processing mechanisms

Cited by 68

Teacher-student neural coupling during teaching and learning

Nguyen, M., Chang, A., Micciche, E., Meshulam, M., Nastase, S. A., & Hasson, U. (2020) · Social Cognitive and Affective Neuroscience

Action Observation and SynchronizationNeural dynamics and brain function

Cited by 67

Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

Goldstein, A., Grinstein-Dabush, A., Schain, M., Wang, H., Hong, Z., Aubrey, B., Nastase, S. A., Zada, Z., Ham, E., Feder, A., et al. (2024) · Nature Communications

Neurobiology of Language and BilingualismTopic Modeling

Cited by 64

Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space

Nastase, S. A., Liu, Y.-F., Hillman, H., Norman, K. A., & Hasson, U. (2020) · NeuroImage

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 42

Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language

Hong, Z., Wang, H., Zada, Z., Gazula, H., Turner, D., Aubrey, B., Niekerken, L., Doyle, W., Devore, S., Dugan, P., et al. (2024) · eLife

Neurobiology of Language and BilingualismTopic Modeling

Cited by 1