Nature Search

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
Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models

The way in which the brain processes language from a collection of sounds to meaningful concepts remains poorly understood. Here, the authors show that the brain’s temporal responses to speech closely follow the layer-by-layer progression of LLMs, revealing shared computational principles.

Ariel Goldstein
Eric Ham
Uri Hasson
ResearchOpen Access26 Nov 2025
Nature Communications

Volume: 16, P: 1-12
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
Global prediction of extreme floods in ungauged watersheds

Artificial intelligence-based forecasting improves the reliability of predicting extreme flood events in ungauged watersheds, with predictions at five days lead time that are as good as current systems are for same-day predictions.

Grey Nearing
Deborah Cohen
Yossi Matias
ResearchOpen Access20 Mar 2024
Nature

Volume: 627, P: 559-563
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
A neural encoder for earthquake rate forecasting

Oleg Zlydenko
Gal Elidan
Yohai Bar-Sinai
ResearchOpen Access31 Jul 2023
Scientific Reports

Volume: 13, P: 1-8
Caravan - A global community dataset for large-sample hydrology

Frederik Kratzert
Grey Nearing
Yossi Matias
ResearchOpen Access31 Jan 2023
Scientific Data

Volume: 10, P: 1-11

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