Author

Bryant A. Seamon

Medical University of South CarolinaORCID 0000-0002-3995-1052Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Physiology· 1

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:variational autoencoder· 1

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Aaron J. YoungiD· 1 shared Lena H. TingiD· 1 shared Siddharth R. NathellaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperPhysiology

Aaron J. YoungORCID

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1 paper

Recent·Most cited

PhysiologyJournal of NeurophysiologyPeer-reviewedSep 9, 2026

Improved Stability and Interpretability of Motor Modules Computed with an Autoencoder

Siddharth R. Nathella, Bryant A. Seamon, Aaron J. Young, Lena H. Ting

This paper introduces an autoencoder-based method for computing motor modules from EMG data, showing improved stability and biomechanical interpretability compared to non-negative matrix factorization.

DOI 10.1152/jn.00565.2025

humanelectrophysiology

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