Author

Gaspare Galati

Fondazione Santa LuciaORCID 0000-0002-0640-4247Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 4 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Michelangelo TaniiD· 3 shared Alma Cecconi· 1 shared Antonello BaldassarreiD· 1 shared Cyriel M. A. PennartziD· 1 shared Federica BencivengaiD· 1 shared Federico GioveiD· 1 shared Francesco MannellaiD· 1 shared Giovanni PezzuloiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersNeuroscience

Michelangelo TaniORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Predictive coding of visual feedback of actions in human parieto-frontal circuits

Michelangelo Tani, Sara Ferruzzi, Raffaele Costanzo, Martina Perrone, Gaspare Galati

This study investigates how motor execution and visual feedback interact in human parieto-frontal circuits using fMRI and virtual reality, revealing predictive coding and dynamic connectivity changes.

bioRxiv · Oct 1, 2026 · PreprintNeuroscience

Segregation and integration between visuo-spatial attention and semantic memory across large-scale brain networks

Michelangelo Tani, Sandeep Kaur, Maria Ciociola, Maria Bianca Muneghina, Alma Cecconi, Valentina Sulpizio, Antonello Baldassarre, Paolo Capotosto, Gaspare Galati

This study investigates how visuo-spatial attention and semantic memory interact in the brain using fMRI, finding that the anterior insula integrates these networks during combined tasks.

bioRxiv · Jul 22, 2026 · PreprintNeuroscience

MOTUM: a system for Motion Online Tracking Under MRI

Federica Bencivenga, Michelangelo Tani, Krishnendu Vyas, Federico Giove, Steve Gazzitano, Gaspare Galati

MOTUM enables naturalistic movement during fMRI by combining real-time motion tracking with virtual reality, showing minimal impact on data quality and linking movement dynamics to brain activity.

Imaging Neuroscience · Dec 9, 2025Peer-reviewedNeuroscience

Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits

Matthias Brucklacher, Giovanni Pezzulo, Francesco Mannella, Gaspare Galati, Cyriel M. A. Pennartz

The paper develops a computational model that distinguishes self-generated from externally caused optic flow using sensorimotor mismatch circuits, validated with mouse data and applicable to primate vision.

Neural Networks · Sep 28, 2024Peer-reviewedNeuroscience