Author

S. Avrillon

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Physiology· 3 Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:electrophysiology· 4 Research Focus:cell type annotation· 3 Organism:human· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:graph neural network· 1

Frequent Co-Authors

J. L. Pons· 3 shared F. Hug· 2 shared J. C. Hernandez-Pavon· 2 shared D. Farina· 1 shared G. Hoo· 1 shared G. W. Hoo· 1 shared J. T. Levine· 1 shared N. M. Kurukuti· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersPhysiology

J. L. Pons

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A graph-based approach to identify motor neuron synergies

S. Avrillon, F. Hug, D. Farina

This paper introduces a graph-based method to estimate the number and strength of synaptic inputs to motor neurons using discharge rate correlations, validated through simulations and applied to experimental data.

bioRxiv · Feb 7, 2023 · PreprintPhysiology

Transcutaneous electrical nerve stimulation acutely impacts motor unit firing activity during isometric contractions

S. Avrillon, J. C. Hernandez-Pavon, N. M. Kurukuti, G. W. Hoo, J. L. Pons

This study examines how transcutaneous electrical nerve stimulation affects motor unit firing during isometric contractions, finding increased electromyographic amplitude without altering discharge rates or correlation patterns.

bioRxiv · Dec 22, 2022 · PreprintPhysiology

Transcutaneous electrical nerve stimulation modulates corticospinal excitability while preserving motor unit discharge properties during isometric contractions

J. C. Hernandez-Pavon, S. Avrillon, G. Hoo, J. L. Pons

This study examines how transcutaneous electrical nerve stimulation (TENS) affects corticospinal excitability and motor unit discharge properties during isometric contractions in healthy adults.

bioRxiv · Mar 10, 2022 · PreprintPhysiology

A deep CNN framework for neural drive estimation from HD-EMG across contraction intensities and joint angles

Y. Wen, S. J. Kim, S. Avrillon, J. T. Levine, F. Hug, J. L. Pons

This paper introduces a deep CNN framework to estimate neural drive from HD-EMG across varying contraction intensities and joint angles, achieving high accuracy without retraining for new conditions.

IEEE Transactions on Neural Systems and Rehabilitation Engineering · Jan 1, 2022Peer-reviewedBioengineering