Davide Zoccolan

Scuola Internazionale Superiore di Studi Avanzati

Neuroscience

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes”.

Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes

eLife(2021)10.7554/elife.72081

N/A

0.396DataRank · unranked

13 citations

Eugenio Piasini, Andrea Buccellato, Anna Carboncino, Vijay Balasubramanian, Davide Zoccolan +1 more

Temporal stability of stimulus representation increases along rodent visual cortical hierarchies

Nature Communications(2021)10.1038/s41467-021-24456-3

N/A

0DataRank · unranked

46 citations

Liviu Soltuzu, Paolo Muratore, Riccardo Caramellino, Kasper Vinken, Hans Op de Beeck +3 more

Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.17.444510

N/A

0DataRank · unranked

2 citations

Eugenio Piasini, Andrea Buccellato, Anna Carboncino, Vijay Balasubramanian, Davide Zoccolan +1 more

Unraveling the complexity of rat object vision requires a full convolutional network and beyond

Patterns(2025)10.1016/j.patter.2024.101149

N/A

0DataRank · unranked

0 citations

Alireza Alemi, Davide Zoccolan, Paolo Muratore