Author

Ladislas Nalborczyk

Centre National de la Recherche ScientifiqueORCID 0000-0002-7419-9855Unclaimed 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:Bayesian inference· 1 Research Focus:benchmarking· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Camille L. GrassoiD· 1 shared Paul‐Christian BürkneriD· 1 shared Virginie van WassenhoveiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Camille L. GrassoORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 12, 2026

Uncovering the representational geometry of durations

Camille L. Grasso, Ladislas Nalborczyk, Virginie van Wassenhove

The paper investigates the geometry of duration perception using behavioral and EEG data, revealing multidimensional representations and dynamic neural encoding.

DOI 10.64898/2026.03.29.715088

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintAug 29, 2025

Precise temporal localisation of M/EEG effects with Bayesian generalised additive multilevel models

Ladislas Nalborczyk, Paul‐Christian Bürkner

This paper introduces a Bayesian generalised additive multilevel model for precise temporal localization of M/EEG effects, showing improved accuracy in estimating onset and offset compared to conventional methods.

3 citations

electronic health recordsBayesian inference

𝕏 PostBluesky