Author

Alexis Machado

McGill University

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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Bioengineering· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Christophe GrovaiD· 2 shared Jean‐Marc LinaiD· 2 shared Thomas L. VincentiD· 2 shared Zhengchen CaiiD· 2 shared Amanda SpilkiniD· 1 shared Denis SchwartziD· 1 shared Édouard DelaireiD· 1 shared François TadeliD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioengineering

Christophe GrovaORCID

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Author profile →

2 papers

Recent·Most cited

NIRSTORM: a Brainstorm extension dedicated to functional Near Infrared Spectroscopy (fNIRS) data analysis, advanced 3D reconstructions, and optimal probe design.

Édouard Delaire, Thomas L. Vincent, Zhengchen Cai, Alexis Machado, Laurent Hugueville, Denis Schwartz, François Tadel, Raymundo Cassani, Louis Bherer, Jean‐Marc Lina, Mélanie Pélégrini‐Issac, Christophe Grova

NIRSTORM extends Brainstorm for fNIRS analysis, offering 3D hemodynamic reconstructions and optimal probe design within a multimodal framework.

Neurophotonics · May 15, 2025Peer-reviewedBioengineering

Diffuse optical reconstructions of NIRS data using Maximum Entropy on the Mean

Zhengchen Cai, Alexis Machado, Rasheda Arman Chowdhury, Amanda Spilkin, Thomas L. Vincent, Ümit Aydın, Giovanni Pellegrino, Jean‐Marc Lina, Christophe Grova

This paper introduces a new fNIRS reconstruction method called Maximum Entropy on the Mean (MEM), which provides more accurate and robust reconstructions than the Minimum Norm Estimate (MNE) in both simulations and real data.

bioRxiv · Feb 22, 2021 · PreprintNeuroscience