Author

Maneeshika M. Madduri

University of WashingtonORCID 0000-0002-5762-2316Unclaimed 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· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:electrophysiology· 1 Approach:statistical model· 1

Frequent Co-Authors

Amy L. OrsborniD· 2 shared Samuel A. BurdeniD· 2 shared Amber H.Y. ChouiD· 1 shared Andrew Christensen· 1 shared Finley (Liya) Hutchison· 1 shared Jason Isa· 1 shared Momona YamagamiiD· 1 shared Sasha N. Burckhardt· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Amy L. OrsbornORCID

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2 papers

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

𝕏 PostBluesky

BioengineeringbioRxivPreprintApr 8, 2024

Using Eye Gaze to Train an Adaptive Myoelectric Interface

Amber H.Y. Chou, Maneeshika M. Madduri, Si Jia Li…·Amy L. Orsborn

This study demonstrates that using eye gaze as training data can achieve comparable performance to task-specific training in adaptive myoelectric interfaces for 2D cursor control.

5 citations

humanelectrophysiology

𝕏 PostBluesky