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The Spatiotemporal Neural Dynamics of Object Recognition for Natural Images and Line Drawings.
Singer, Johannes J D; Cichy, Radoslaw M; Hebart, Martin N.
Afiliação
  • Singer JJD; Max Planck Institute for Human Cognitive and Brain Sciences, Vision and Computational Cognition Group, 04103 Leipzig, Germany johannes.singer@arcor.de.
  • Cichy RM; Department of Education and Psychology, Freie Universität Berlin, 14195 Berlin, Germany.
  • Hebart MN; Department of Education and Psychology, Freie Universität Berlin, 14195 Berlin, Germany.
J Neurosci ; 43(3): 484-500, 2023 01 18.
Article em En | MEDLINE | ID: mdl-36535769
Drawings offer a simple and efficient way to communicate meaning. While line drawings capture only coarsely how objects look in reality, we still perceive them as resembling real-world objects. Previous work has shown that this perceived similarity is mirrored by shared neural representations for drawings and natural images, which suggests that similar mechanisms underlie the recognition of both. However, other work has proposed that representations of drawings and natural images become similar only after substantial processing has taken place, suggesting distinct mechanisms. To arbitrate between those alternatives, we measured brain responses resolved in space and time using fMRI and MEG, respectively, while human participants (female and male) viewed images of objects depicted as photographs, line drawings, or sketch-like drawings. Using multivariate decoding, we demonstrate that object category information emerged similarly fast and across overlapping regions in occipital, ventral-temporal, and posterior parietal cortex for all types of depiction, yet with smaller effects at higher levels of visual abstraction. In addition, cross-decoding between depiction types revealed strong generalization of object category information from early processing stages on. Finally, by combining fMRI and MEG data using representational similarity analysis, we found that visual information traversed similar processing stages for all types of depiction, yet with an overall stronger representation for photographs. Together, our results demonstrate broad commonalities in the neural dynamics of object recognition across types of depiction, thus providing clear evidence for shared neural mechanisms underlying recognition of natural object images and abstract drawings.SIGNIFICANCE STATEMENT When we see a line drawing, we effortlessly recognize it as an object in the world despite its simple and abstract style. Here we asked to what extent this correspondence in perception is reflected in the brain. To answer this question, we measured how neural processing of objects depicted as photographs and line drawings with varying levels of detail (from natural images to abstract line drawings) evolves over space and time. We find broad commonalities in the spatiotemporal dynamics and the neural representations underlying the perception of photographs and even abstract drawings. These results indicate a shared basic mechanism supporting recognition of drawings and natural images.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reconhecimento Visual de Modelos / Percepção Visual Limite: Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reconhecimento Visual de Modelos / Percepção Visual Limite: Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article