Author

Samuel A. Nastase

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Open access Sep 2026

Larger language models better align with neural representations of natural language

Recent research has used large language models (LLMs) to study the neural basis of naturalistic language processing in the human brain. LLMs have rapidly grown in complexity, leading to improved language processing capabilities. Here, we utilized several families of transformer-based LLMs to investigate the relationshi...

Zhuoqiao Hong, Hao-Cheng Wang, Zaid Zada et al. · eLife · 0 citations

Review Open access Aug 2026

Unifying the structures of language in a neural population code

It is concluded that explaining how language can emerge from neural population codes, in both biological and artificial systems, will not be achieved through the incremental refinement of algebraic-symbolic theories but will demand new theoretical paradigms.

Samuel A. Nastase, Zaid Zada, A. Goldberg et al. · Neuron · 1 citation