Literature DB >> 34454940

"Scene" from inside: The representation of Observer's space in high-level visual cortex.

Thitaporn Chaisilprungraung1, Soojin Park2.   

Abstract

Human observers are remarkably adept at perceiving and interacting with visual stimuli around them. Compared to visual stimuli like objects or faces, scenes are unique in that they provide enclosures for observers. An observer looks at a scene by being physically inside the scene. The current research explored this unique observer-scene relationship by studying the neural representation of scenes' spatial boundaries. Previous studies hypothesized that scenes' boundaries were processed in sets of high-level visual cortices. Notably, the parahippocampal place area (PPA), exhibited neural sensitivity to scenes that had closed vs. open spatial boundaries (Kravitz et al., 2011; Park et al., 2011). We asked whether this sensitivity reflected the openness of landscape (e.g., forest vs. beach), or the openness of the environment immediately surrounding the observer (i.e., whether a scene was viewed from inside vs. outside a room). Across two human fMRI experiments, we found that the PPA, as well as another well-known navigation-processing area, the occipital place area (OPA), processed scenes' boundaries according to the observer's space rather than the landscape. Moreover, we found that the PPA's activation pattern was susceptible to manipulations involving mid-level perceptual properties of scenes (e.g., rectilinear pattern of window frames), while the OPA's response was not. Our results have important implications for research in visual scene processing and suggest an important role of an observer's location in representing the spatial boundary, beyond the low-level visual input of a landscape.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Landscape; MVPA; Mid-level visual feature; PPA; Scene; Spatial boundary

Mesh:

Year:  2021        PMID: 34454940      PMCID: PMC8865023          DOI: 10.1016/j.neuropsychologia.2021.108010

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.054


  46 in total

1.  Object ensemble processing in human anterior-medial ventral visual cortex.

Authors:  Jonathan S Cant; Yaoda Xu
Journal:  J Neurosci       Date:  2012-05-30       Impact factor: 6.167

Review 2.  Scene Perception in the Human Brain.

Authors:  Russell A Epstein; Chris I Baker
Journal:  Annu Rev Vis Sci       Date:  2019-06-21       Impact factor: 6.422

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Authors:  Russell A Epstein; Whitney E Parker; Alana M Feiler
Journal:  J Neurosci       Date:  2007-06-06       Impact factor: 6.167

4.  Disentangling scene content from spatial boundary: complementary roles for the parahippocampal place area and lateral occipital complex in representing real-world scenes.

Authors:  Soojin Park; Timothy F Brady; Michelle R Greene; Aude Oliva
Journal:  J Neurosci       Date:  2011-01-26       Impact factor: 6.167

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Authors:  R Epstein; N Kanwisher
Journal:  Nature       Date:  1998-04-09       Impact factor: 49.962

6.  The fusiform face area: a module in human extrastriate cortex specialized for face perception.

Authors:  N Kanwisher; J McDermott; M M Chun
Journal:  J Neurosci       Date:  1997-06-01       Impact factor: 6.167

7.  Category-selective areas in human visual cortex exhibit preferences for stimulus depth.

Authors:  Samoni Nag; Daniel Berman; Julie D Golomb
Journal:  Neuroimage       Date:  2019-04-09       Impact factor: 6.556

8.  Perceived egocentric distance sensitivity and invariance across scene-selective cortex.

Authors:  Andrew S Persichetti; Daniel D Dilks
Journal:  Cortex       Date:  2016-02-17       Impact factor: 4.027

9.  A cardinal orientation bias in scene-selective visual cortex.

Authors:  Shahin Nasr; Roger B H Tootell
Journal:  J Neurosci       Date:  2012-10-24       Impact factor: 6.167

10.  Coding of Navigational Distance and Functional Constraint of Boundaries in the Human Scene-Selective Cortex.

Authors:  Jeongho Park; Soojin Park
Journal:  J Neurosci       Date:  2020-03-24       Impact factor: 6.167

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