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Neuroimage. 2017 Aug 15;157:586-597. doi: 10.1016/j.neuroimage.2017.06.043. Epub 2017 Jun 21.

Neural representation of geometry and surface properties in object and scene perception.

Author information

1
Department of Psychology (Scarborough), University of Toronto, Toronto, ON, Canada M1C 1A4; Department of Psychology (St. George), University of Toronto, Toronto, ON, Canada M5S 3G3. Electronic address: matthew.lowe@utoronto.ca.
2
Department of Psychology (St. George), University of Toronto, Toronto, ON, Canada M5S 3G3.
3
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada K7L 3N6; Department of Psychology, Queen's University, Kingston, ON, Canada K7L 3N6; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada K7L 3N6.
4
Department of Psychology (St. George), University of Toronto, Toronto, ON, Canada M5S 3G3; Rotman Research Institute, Baycrest, Toronto, ON, Canada, M6A 2E1.
5
Department of Psychology (Scarborough), University of Toronto, Toronto, ON, Canada M1C 1A4.

Abstract

Multiple cortical regions are crucial for perceiving the visual world, yet the processes shaping representations in these regions are unclear. To address this issue, we must elucidate how perceptual features shape representations of the environment. Here, we explore how the weighting of different visual features affects neural representations of objects and scenes, focusing on the scene-selective parahippocampal place area (PPA), but additionally including the retrosplenial complex (RSC), occipital place area (OPA), lateral occipital (LO) area, fusiform face area (FFA) and occipital face area (OFA). Across three experiments, we examined functional magnetic resonance imaging (fMRI) activity while human observers viewed scenes and objects that varied in geometry (shape/layout) and surface properties (texture/material). Interestingly, we found equal sensitivity in the PPA for these properties within a scene, revealing that spatial-selectivity alone does not drive activation within this cortical region. We also observed sensitivity to object texture in PPA, but not to the same degree as scene texture, and representations in PPA varied when objects were placed within scenes. We conclude that PPA may process surface properties in a domain-specific manner, and that the processing of scene texture and geometry is equally-weighted in PPA and may be mediated by similar underlying neuronal mechanisms.

KEYWORDS:

Context; Layout; Structure; Texture; Ventral visual; Visual features; fMRI

[Indexed for MEDLINE]

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