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Common spatiotemporal processing of visual features shapes object representation.


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 objects from six 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: 100-150?ms 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, suggesting a role for this feature in the refinement of categorical matching.

SUBMITTER: Papale P 

PROVIDER: S-EPMC6527710 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Common spatiotemporal processing of visual features shapes object representation.

Papale Paolo P   Betta Monica M   Handjaras Giacomo G   Malfatti Giulia G   Cecchetti Luca L   Rampinini Alessandra A   Pietrini Pietro P   Ricciardi Emiliano E   Turella Luca L   Leo Andrea A  

Scientific reports 20190520 1


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 magnetoencephalograp  ...[more]

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