Author

Sijia Li

University of WashingtonORCID 0000-0002-2529-9497Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Amy L. OrsborniD· 1 shared Maneeshika M. MadduriiD· 1 shared Momona YamagamiiD· 1 shared Samuel A. BurdeniD· 1 shared Sasha N. Burckhardt· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Amy L. OrsbornORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintMay 23, 2024

Computational Framework to Predict and Shape Human-Machine Interactions in Closed-loop, Co-adaptive Neural Interfaces

Maneeshika M. Madduri, Momona Yamagami, Sijia Li…·Amy L. Orsborn

The paper develops a computational framework using control and game theory to predict and optimize user-decoder interactions in co-adaptive neural interfaces through experimental validation.

DOI 10.1101/2024.05.23.595598

humanelectronic health records

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