Author

Daniela De Luca

Scuola Superiore Sant'AnnaORCID 0000-0002-9623-0438Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:non-human primate· 1

Frequent Co-Authors

Paolo PapaleiD· 1 shared Pieter R. RoelfsemaiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Paolo PapaleORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 9, 2024

Deep generative networks reveal the tuning of neurons in IT and predict their influence on visual perception

Paolo Papale, Daniela De Luca, Pieter R. Roelfsema

The paper uses deep generative networks to infer visual neuron tuning properties in monkeys and demonstrates their influence on visual perception through microstimulation.

3 citations

non-human primateelectronic health records

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