Author

Avigail Grinstein-Dabush

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.

Biology Disciplines

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Neuroscience· 2

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Assay:electronic health records· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Adeen FlinkeriD· 2 shared Amir FederiD· 2 shared Ariel GoldsteiniD· 2 shared Avinatan HassidimiD· 2 shared Bobbi Aubrey· 2 shared Daniel J. FriedmaniD· 2 shared Eric Ham· 2 shared Harshvardhan GazulaiD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

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

Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain

Ariel Goldstein, Eric Ham, Samuel A. Nastase, Zaid Zada, Avigail Grinstein-Dabush, Bobbi Aubrey, Mariano Schain, Harshvardhan Gazula, Amir Feder, Werner Doyle, Sasha Devore, Patricia C. Dugan, Daniel J. Friedman, Michael P. Brenner, Avinatan Hassidim, , Uri Hasson

This study finds a correspondence between the layered structure of deep language models and the temporal structure of neural activity during language processing in the human brain.

bioRxiv · Jul 11, 2022 · PreprintNeuroscience

Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain

Ariel Goldstein, Avigail Grinstein-Dabush, Bobbi Aubrey, Mariano Schain, Samuel A. Nastase, Zaid Zada, Eric Ham, Zhuoqiao Hong, Amir Feder, Harshvardhan Gazula, Eliav Buchnik, Werner Doyle, Sasha Devore, Patricia C. Dugan, Daniel J. Friedman, , Uri Hasson

The paper shows that brain embeddings from the IFG share geometric structure with DLM contextual embeddings, enabling zero-shot encoding and decoding of unseen words.

bioRxiv · Mar 1, 2022 · PreprintNeuroscience