Bobbi Aubrey

Princeton University — United States

Neuroscience · Life Sciences

8h-index675citations22works6.92yr avg
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Research Topics

Neurobiology of Language and Bilingualism(10), Topic Modeling(8), Functional Brain Connectivity Studies(3), Action Observation and Synchronization(3), Natural Language Processing Techniques(2)

Publications22 total

The "Podcast" ECoG dataset
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models
Nature Communications·2025· 1 citedOpen Access
Aligning brains into a shared space improves their alignment with large language models
Nature Computational Science·2025· 2 cited
The “Podcast” ECoG dataset for modeling neural activity during natural language comprehension
Scientific Data·2025· 4 citedOpen Access
A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations
Nature Human Behaviour·2025· 22 citedOpen Access
The “Podcast” ECoG dataset for modeling neural activity during natural language comprehension
2025Open Access
Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language
2024· 5 citedOpen Access
Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language
2024Open Access
Author response: Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language
2024Open Access
Author Correction: Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
Nature Communications·2024Open Access
Information-making processes in the speaker’s brain drive human conversations
2024· 2 citedOpen Access
Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language
2024· 1 citedOpen Access
Aligning Brains into a Shared Space Improves their Alignment to Large Language Models
2024· 3 citedOpen Access
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
Nature Communications·2024· 54 citedOpen Access
Deep speech-to-text models capture the neural basis of spontaneous speech in everyday conversations
2023· 15 citedOpen Access
Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain
2022· 19 citedOpen Access
Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain
2022· 6 citedOpen Access
Shared computational principles for language processing in humans and deep language models
Nature Neuroscience·2022· 415 citedOpen Access
Moment-by-moment tracking of naturalistic learning and its underlying hippocampo-cortical interactions
Nature Communications·2021· 49 citedOpen Access
Moment-by-moment tracking of naturalistic learning and its underlying hippocampo-cortical interactions
2020· 23 citedOpen Access
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Frequent Co-authors

Adeen Flinker(22), Patricia Dugan(21), Orrin Devinsky(21), Zaid Zada(20), Daniel Friedman(20), Uri Hasson(20), Samuel A. Nastase(19), Sasha Devore(19), Werner Doyle(17), Ariel Goldstein(16), Harshvardhan Gazula(14), Michael P. Brenner(11), Mariano Schain(10), Avinatan Hassidim(9), Haocheng Wang(8), Amir Feder(7), Zhuoqiao Hong(7), Leonard Niekerken(7), Yossi Matias(6), Haocheng Wang(6)