Author

Francesco De Santis

Politecnico di MilanoORCID 0009-0005-8393-9658Unclaimed 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:cell type annotation· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Alberto AntoniettiiD· 2 shared Alessandra PedrocchiiD· 1 shared Balázs MészárosiD· 1 shared Brendan A. BicknelliD· 1 shared Dan F. M. GoodmaniD· 1 shared Dilay Fidan ErçelikiD· 1 shared Gabriel BénaiD· 1 shared Ido AizenbudiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Alberto AntoniettiORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 18, 2025

A human spiking computational model to explore sound localization

Francesco De Santis, Paolo Marzolo, Alessandra Pedrocchi, Alberto Antonietti

This paper develops a spiking neural network model of human auditory brainstem nuclei to study sound localization mechanisms using ITDs and ILDs.

DOI 10.1101/2025.09.18.677043

humanelectronic health records

𝕏 PostBluesky

NeuroscienceeNeuroPeer-reviewedJun 26, 2025

Spiking neural network models of sound localisation via a massively collaborative process

Marcus Ghosh, Karim G. Habashy, Francesco De Santis…·Dan F. M. Goodman

The paper describes a massively collaborative project using spiking neural networks to study sound localization, involving 31 researchers across multiple countries.

6 citations

experimental assay

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