Author

Stéphanie Martin

University of GenevaORCID 0000-0002-3480-3296Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Andy Christen· 2 shared Anne‐Lise GiraudiD· 2 shared Brian N. Pasley· 2 shared Jaime F. Delgado SaaiD· 2 shared Robert Thomas KnightiD· 2 shared David PoeppeliD· 1 shared Luc H. ArnaliD· 1 shared Orrin DevinskyiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Andy Christen

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Imagined speech can be decoded from low- and cross-frequency features in perceptual space

Timothée Proix, Jaime F. Delgado Saa, Andy Christen, Stéphanie Martin, Brian N. Pasley, Robert Thomas Knight, Xing Tian, David Poeppel, Werner Doyle, Orrin Devinsky, Luc H. Arnal, Pierre Mégevand, Anne‐Lise Giraud

The paper decodes imagined speech using low- and cross-frequency neural features from electrocorticography data, showing their effectiveness in perceptual speech spaces.

bioRxiv · Jan 26, 2021 · PreprintNeuroscience

Coherence-based spectro-spatial fillters for stimulus features prediction from electrocorticographic recordings.

Jaime Delgado, Andy Christen, Stéphanie Martin, Brian N. Pasley, Robert Thomas Knight, Anne‐Lise Giraud

This paper introduces a coherence-based spectro-spatial filter to predict stimulus features from electrocorticographic recordings, showing improved performance over traditional methods.

bioRxiv · Nov 28, 2018 · PreprintNeuroscience