Author

Ghazaleh Ranjbaran

Centre Hospitalier Universitaire Sainte-JustineORCID 0000-0002-1922-603XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Organism:human· 1

Frequent Co-Authors

Guillaume DumasiD· 2 shared Quentin MoreauiD· 2 shared Adrien E. E. DuboisiD· 1 shared Caitriona L. DouglasiD· 1 shared Lena AdeliD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersNeuroscience

Guillaume DumasORCID

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2 papers

Recent·Most cited

NeuroscienceNeuroinformaticsPeer-reviewedJan 13, 2026

Towards Multi-Brain Decoding in Autism: A Self-Supervised Learning Approach

Ghazaleh Ranjbaran, Quentin Moreau, Adrien E. E. Dubois, Guillaume Dumas

This study uses self-supervised learning to classify autism spectrum condition from hyperscanning EEG data during social interactions, achieving 78.13% accuracy.

3 citationstop 2%

humanelectronic health records

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NeurosciencebioRxivPreprintApr 8, 2022

A Neurodynamic Model of Inter-Brain Coupling in the Gamma Band

Quentin Moreau, Lena Adel, Caitriona L. Douglas…·Guillaume Dumas

This paper explains Gamma inter-brain coupling using a Kuramoto model with Theta-Gamma cross-frequency coupling and inter-brain Theta synchronization.

DOI 10.1101/2022.04.08.487686

electronic health recordsstatistical model

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