Sign in
NeuroscienceScientific Reports
Peer-reviewed journal article

Common spatiotemporal processing of visual features shapes object representation

Paolo PapaleiD, Monica BettaiD, Giacomo HandjarasiD, Giulia MalfattiiD, Luca CecchettiiD, Alessandra RampininiiD, Pietro PietriniiD, Emiliano RicciardiiD, Luca TurellaiD, Andrea LeoiD

Abstract

Biological vision relies on representations of the physical world at different levels of complexity. Relevant features span from simple low-level properties, as contrast and spatial frequencies, to object-based attributes, as shape and category. However, how these features are integrated into coherent percepts is still debated. Moreover, these dimensions often share common biases: for instance, stimuli from the same category (e.g., tools) may have similar shapes. Here, using magnetoencephalography, we revealed the temporal dynamics of feature processing in human subjects attending to pictures of items pertaining to different semantic categories. By employing Relative Weights Analysis, we mitigated collinearity between model-based descriptions of stimuli and showed that low-level properties (contrast and spatial frequencies), shape (medial-axis) and category are represented within the same spatial locations early in time: 100-150ms after stimulus onset. This fast and overlapping processing may result from independent parallel computations, with categorical representation emerging later than the onset of low-level feature processing, yet before shape coding. Categorical information is represented both before and after shape also suggesting a role for this feature in the refinement of categorical matching.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISKidder '25Greene '20Hachisuka '26Hebart '18Henderson '23Xu '23
74% semantic matchNeuroscience
Alexis Kidder, Genevieve L. Quek, Tijl Grootswagers·Imaging Neuroscience·Jan 1, 2025