Shape coding in occipito-temporal cortex relies on object silhouette, curvature, and medial axis | Zendy

Paolo Papale | Zendy; Andrea Leo | Zendy; Giacomo Handjaras | Zendy; Luca Cecchetti | Zendy; Pietro Pietrini | Zendy; Emiliano Ricciardi | Zendy

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Shape coding in occipito-temporal cortex relies on object silhouette, curvature, and medial axis

Author(s) -

Paolo Papale,

Andrea Leo,

Giacomo Handjaras,

Luca Cecchetti,

Pietro Pietrini,

Emiliano Ricciardi

Publication year - 2020

Publication title -

journal of neurophysiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.302

H-Index - 245

eISSN - 1522-1598

pISSN - 0022-3077

DOI - 10.1152/jn.00212.2020

Subject(s) - silhouette , curvature , computer vision , object (grammar) , artificial intelligence , coding (social sciences) , computer science , pattern recognition (psychology) , mathematics , geometry , statistics

There are several possible ways of characterizing the shape of an object. Which shape description better describes our brain responses while we passively perceive objects? Here, we employed three competing shape models to explain brain representations when viewing real objects. We found that object shape is encoded in a multidimensional fashion and thus defined by the interaction of multiple features.

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