Author

Gabriel Matías Lorenz

Italian Institute of TechnologyORCID 0009-0006-3129-906XUnclaimed 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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Research Focus:benchmarking· 2 Assay:electronic health records· 2 Approach:statistical model· 2 Organism:mouse· 1

Frequent Co-Authors

Loren KoçillariiD· 2 shared Marco CelottoiD· 2 shared Nicola Marie EngeliD· 2 shared Sebastiano CurreliiD· 2 shared Stefano PanzeriiD· 2 shared Tommaso FelliniD· 2 shared Andreas Karl EngeliD· 1 shared Simone Blanco MalerbaiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersNeuroscience

Loren KoçillariORCID

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2 papers

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedApr 15, 2025

MINT: a toolbox for the analysis of multivariate neural information coding and transmission

Gabriel Matías Lorenz, Nicola Marie Engel, Marco Celotto…·Stefano Panzeri

MINT is a toolbox for analyzing multivariate neural information coding and transmission using information theory and dimensionality reduction, applied to simulated and real neural data.

10 citationstop 3%

electronic health recordsstatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintJun 4, 2024

Sampling bias corrections for accurate neural measures of redundant, unique, and synergistic information

Loren Koçillari, Gabriel Matías Lorenz, Nicola Marie Engel…·Stefano Panzeri

The paper develops bias correction methods for Partial Information Decomposition (PID) in neural data, improving estimates of synergy and redundancy in mouse brain regions.

4 citations

mouseelectronic health records

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