Author

Maxim Karrenbach

Carnegie Mellon UniversityORCID 0000-0003-1854-1879Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Assay:electrophysiology· 1

Frequent Co-Authors

Bin HeiD· 2 shared Hanwen WangiD· 2 shared Yidan DingiD· 2 shared Zachary JohnsoniD· 2 shared George Frederick WittenbergiD· 1 shared Jintao Zhang· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersNeuroscience

Bin HeORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 18, 2026

Adaptive Neural Reorganization Enables Real-Time Finger-Level Robotic Control in BCI-Naïve Stroke Survivors

Yidan Ding, Maxim Karrenbach, Zachary Johnson…·Bin He

This study shows stroke survivors without BCI experience can control robotic hands via finger-level motor imagery, achieving 84% accuracy for two-finger tasks using deep learning decoders.

DOI 10.64898/2026.06.15.732267

humanelectronic health records

𝕏 PostBluesky

BioengineeringbioRxivPreprintMar 27, 2026

EEG Foundation Model Improves Online Directional Motor Imagery Brain-computer Interface Control

Maxim Karrenbach, Hanwen Wang, Zachary Johnson…·Bin He

This paper introduces an EEG foundation model that improves online directional motor imagery BCI control, achieving higher accuracy and faster task completion in human participants.

DOI 10.64898/2026.03.24.714020

humanelectrophysiology

𝕏 PostBluesky