Author

Jhunlyn Lorenzo

Centre National de la Recherche ScientifiqueORCID 0000-0001-9686-4900Unclaimed 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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Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ana FlóiD· 1 shared Ghislaine Dehaene‐LambertziD· 1 shared Juan‐Antonio Rico‐GallegoiD· 1 shared Nicolo Formento MolettaiD· 1 shared S. BinczakiD· 1 shared Sabir JacquiriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Ana FlóORCID

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2 papers

Recent·Most cited

APICE-Py: An Open-Source MNE-Python Pipeline for Scalable EEG Preprocessing

Nicolo Formento Moletta, Ana Fló, Ghislaine Dehaene‐Lambertz, Jhunlyn Lorenzo

A Python/MNE port of the APICE infant EEG preprocessing pipeline flags more artifacts than the MATLAB original but gives similar ERP measurement error in neonates and 5-month-olds.

bioRxiv · Jul 27, 2026 · PreprintNeuroscience✦ In-depth digest

Spiking Neuron-Astrocyte Networks for Image Recognition

Jhunlyn Lorenzo, Juan‐Antonio Rico‐Gallego, S. Binczak, Sabir Jacquir

This paper introduces a Spiking Neuron-Astrocyte Network (SNAN) model for image recognition, showing improved performance through astrocyte-mediated modulation of neural connections.

Neural Computation · Mar 3, 2025Peer-reviewedNeuroscience