Author

Tom Sheffer

Google (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

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Assay:electronic health records· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Adeen FlinkeriD· 2 shared Ariel GoldsteiniD· 2 shared Avinatan HassidimiD· 2 shared Bobbi Aubrey· 2 shared Daniel J. FriedmaniD· 2 shared Harshvardhan GazulaiD· 2 shared Leonard Niekerken· 2 shared Mariano Schain· 2 shared

Activity by Year

2023-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Adeen FlinkerORCID

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2 papers

Recent·Most cited

Information-making processes in the speaker's brain drive human conversations forward

Ariel Goldstein, Haocheng Wang, Tom Sheffer, Daria Lioubashevski, Mariano Schain, Zaid Zada, Leonard Niekerken, Bobbi Aubrey, Samuel A. Nastase, Amir Taubenfeld, Harshvardhan Gazula, Colton Casto, Werner Doyle, Daniel J. Friedman, Sasha Devore, , Uri Hasson

This study shows that speakers' brains generate information-rich words through extra neural computation, evidenced by stronger neural activity before articulation, and that LLMs similarly require deeper computation for improbable words.

bioRxiv · Aug 27, 2024 · PreprintNeuroscience

Deep speech-to-text models capture the neural basis of spontaneous speech in everyday conversations

Ariel Goldstein, Haocheng Wang, Leonard Niekerken, Zaid Zada, Bobbi Aubrey, Tom Sheffer, Samuel A. Nastase, Harshvardhan Gazula, Mariano Schain, Aditi Singh, Aditi Rao, Gina Choe, Catherine Kim, Werner Doyle, Daniel J. Friedman, , Uri Hasson

The paper uses a deep speech-to-text model to predict neural responses during spontaneous conversations, revealing a distributed cortical hierarchy for speech and language processing.

bioRxiv · Jun 26, 2023 · PreprintNeuroscience