Author

Yian Zhang

Stanford UniversityORCID 0000-0003-1974-5822Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Charalambos C. CharalambousiD· 1 shared Eghbal A. HosseiniiD· 1 shared Evelina G. FedorenkoiD· 1 shared Heidi M. SchambraiD· 1 shared Jing LiniD· 1 shared Jinsook RohiD· 1 shared Leticia HayesiD· 1 shared Martin SchrimpfiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Charalambos C. CharalambousORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintApr 4, 2024

Corticospinal and corticoreticulospinal projections benefit motor behaviors in chronic stroke

Myriam Taga, Yoon No Gregory Hong, Charalambos C. Charalambous…·Heidi M. Schambra

This study examines how corticospinal and corticoreticulospinal pathways relate to motor behaviors in chronic stroke patients, finding distinct contributions to motor control, strength, and muscle individuation in proximal and distal upper extremity segments.

2 citations

humanexperimental assay

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NeuroscienceNeurobiology of LanguagePeer-reviewedJan 1, 2024

Artificial neural network language models predict human brain responses to language even after a developmentally realistic amount of training

Eghbal A. Hosseini, Martin Schrimpf, Yian Zhang…·Evelina G. Fedorenko

The paper shows that language models trained on developmentally realistic data can predict human brain responses to language, achieving near-maximal performance with 100 million words of training.

62 citationstop 1%

humanmachine learning (classical)

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