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

Ariel Goldstein
Avigail Grinstein-Dabush
Uri Hasson
Amendments and CorrectionsOpen Access01 Oct 2024
Nature Communications

Volume: 15, P: 1
A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations

This study links acoustic, speech and linguistic data with brain activity during real-life conversations to create a model that predicts neural responses during speech with high accuracy.

Ariel Goldstein
Haocheng Wang
Uri Hasson
ResearchOpen Access07 Mar 2025
Nature Human Behaviour

Volume: 9, P: 1041-1055
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

Here, using neural activity patterns in the inferior frontal gyrus and large language modeling embeddings, the authors provide evidence for a common neural code for language processing.

Ariel Goldstein
Avigail Grinstein-Dabush
Uri Hasson
ResearchOpen Access30 Mar 2024
Nature Communications

Volume: 15, P: 1-12
Shared computational principles for language processing in humans and deep language models

Deep language models have revolutionized natural language processing. The paper discovers three computational principles shared between deep language models and the human brain, which can transform our understanding of the neural basis of language.

Ariel Goldstein
Zaid Zada
Uri Hasson
ResearchOpen Access07 Mar 2022
Nature Neuroscience

Volume: 25, P: 369-380
Interpreting models interpreting brain dynamics

Md. Mahfuzur Rahman
Usman Mahmood
Sergey M. Plis
ResearchOpen Access21 Jul 2022
Scientific Reports

Volume: 12, P: 1-15