Author

Lilian Lacourpaille

Laboratoire Motricité, Interactions, PerformanceORCID 0000-0002-9664-8121Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Organism:human· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

François HugiD· 2 shared Aurélie SarcheriD· 1 shared Benjamin PageauxiD· 1 shared Calvin Richier· 1 shared Ciara GibbsiD· 1 shared Dario FarinaiD· 1 shared Fabian HorstiD· 1 shared Ines Boulaouche· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

François HugORCID

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Author profile →

3 papers

Recent·Most cited

Mental fatigue impairs cycling endurance performance and perception of effort, but not muscle activation

Robin Souron, Aurélie Sarcher, Lilian Lacourpaille, Ines Boulaouche, Calvin Richier, Thomas Mangin, Mathieu Gruet, Julie Doron, Marc Jubeau, Benjamin Pageaux

This study shows mental fatigue reduces cycling endurance time and increases perceived effort but does not affect muscle activation.

Peer Community Journal · Jul 27, 2026Peer-reviewedPhysiology

I-Spin live: An open-source software based on blind-source separation for real-time decoding of motor unit activity in humans

Julien Rossato, François Hug, Kylie J. Tucker, Ciara Gibbs, Lilian Lacourpaille, Dario Farina, Simon Avrillon

The paper introduces an open-source software for real-time decoding of motor unit activity from EMG signals using blind-source separation, validated on synthetic and real data from human lower limb muscles.

eLife · Oct 2, 2024Peer-reviewedNeuroscience

Revealing the unique features of each individual her/his muscle activation signatures

Jeroen Aeles, Fabian Horst, Sebastian Lapuschkin, Lilian Lacourpaille, François Hug

This study identifies individual muscle activation signatures using EMG data and shows their consistency across tasks and days.

Journal of The Royal Society Interface · Jan 1, 2021Peer-reviewedNeuroscience