Skeletal representations of shape in the human visual cortex
| Autor: | Frederik S. Kamps, Daniel D. Dilks, Vladislav Ayzenberg, Stella F. Lourenco |
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| Rok vydání: | 2022 |
| Předmět: |
Similarity (geometry)
genetic structures Cognitive Neuroscience media_common.quotation_subject Experimental and Cognitive Psychology Skeleton (category theory) Behavioral Neuroscience Medial axis Perception medicine Humans Visual Cortex media_common Brain Mapping medicine.diagnostic_test business.industry Cognitive neuroscience of visual object recognition Pattern recognition Object (computer science) Form Perception Visual cortex medicine.anatomical_structure Pattern Recognition Visual Occipital Lobe Artificial intelligence business Psychology Functional magnetic resonance imaging |
| Zdroj: | Neuropsychologia. 164:108092 |
| ISSN: | 0028-3932 |
| Popis: | Shape perception is crucial for object recognition. However, it remains unknown exactly how shape information is represented and used by the visual system. Here, we tested the hypothesis that the visual system represents object shape via a skeletal structure. Using functional magnetic resonance imaging (fMRI) and representational similarity analysis (RSA), we found that a model of skeletal similarity explained significant unique variance in the response profiles of V3 and LO. Moreover, the skeletal model remained predictive in these regions even when controlling for other models of visual similarity that approximate low-to high-level visual features (i.e., Gabor-jet, GIST, HMAX, and AlexNet), and across different surface forms, a manipulation that altered object contours while preserving the underlying skeleton. Together, these findings shed light on shape processing in human vision, as well as the computational properties of V3 and LO. We discuss how these regions may support two putative roles of shape skeletons: namely, perceptual organization and object recognition. |
| Databáze: | OpenAIRE |
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