Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes
Behavioral and computational studies suggest that visual scene analysis rapidly produces a rich description of both the objects and the spatial layout of surfaces in a scene. However, there is still a large gap in our understanding of how the human brain accomplishes these diverse functions of scene...
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Society for Neuroscience
2012
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Online Access: | http://hdl.handle.net/1721.1/70136 |
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author | Park, Soojin Brady, Timothy F. Greene, Michelle R. Oliva, Aude |
author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Park, Soojin Brady, Timothy F. Greene, Michelle R. Oliva, Aude |
author_sort | Park, Soojin |
collection | MIT |
description | Behavioral and computational studies suggest that visual scene analysis rapidly produces a rich description of both the objects and the spatial layout of surfaces in a scene. However, there is still a large gap in our understanding of how the human brain accomplishes these diverse functions of scene understanding. Here we probe the nature of real-world scene representations using multivoxel functional magnetic resonance imaging pattern analysis. We show that natural scenes are analyzed in a distributed and complementary manner by the parahippocampal place area (PPA) and the lateral occipital complex (LOC) in particular, as well as other regions in the ventral stream. Specifically, we study the classification performance of different scene-selective regions using images that vary in spatial boundary and naturalness content. We discover that, whereas both the PPA and LOC can accurately classify scenes, they make different errors: the PPA more often confuses scenes that have the same spatial boundaries, whereas the LOC more often confuses scenes that have the same content. By demonstrating that visual scene analysis recruits distinct and complementary high-level representations, our results testify to distinct neural pathways for representing the spatial boundaries and content of a visual scene. |
first_indexed | 2024-09-23T11:30:06Z |
format | Article |
id | mit-1721.1/70136 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T11:30:06Z |
publishDate | 2012 |
publisher | Society for Neuroscience |
record_format | dspace |
spelling | mit-1721.1/701362022-09-27T19:58:23Z Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes Park, Soojin Brady, Timothy F. Greene, Michelle R. Oliva, Aude Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Oliva, Aude Park, Soojin Brady, Timothy F. Greene, Michelle R. Oliva, Aude Behavioral and computational studies suggest that visual scene analysis rapidly produces a rich description of both the objects and the spatial layout of surfaces in a scene. However, there is still a large gap in our understanding of how the human brain accomplishes these diverse functions of scene understanding. Here we probe the nature of real-world scene representations using multivoxel functional magnetic resonance imaging pattern analysis. We show that natural scenes are analyzed in a distributed and complementary manner by the parahippocampal place area (PPA) and the lateral occipital complex (LOC) in particular, as well as other regions in the ventral stream. Specifically, we study the classification performance of different scene-selective regions using images that vary in spatial boundary and naturalness content. We discover that, whereas both the PPA and LOC can accurately classify scenes, they make different errors: the PPA more often confuses scenes that have the same spatial boundaries, whereas the LOC more often confuses scenes that have the same content. By demonstrating that visual scene analysis recruits distinct and complementary high-level representations, our results testify to distinct neural pathways for representing the spatial boundaries and content of a visual scene. National Science Foundation (U.S.) (NSF Graduate Research Fellowship) National Science Foundation (U.S.) (CAREER Award IIS 0546262) 2012-04-25T19:53:58Z 2012-04-25T19:53:58Z 2011-01 Article http://purl.org/eprint/type/JournalArticle 0270-6474 1529-2401 http://hdl.handle.net/1721.1/70136 Park, S. et al. “Disentangling Scene Content from Spatial Boundary: Complementary Roles for the Parahippocampal Place Area and Lateral Occipital Complex in Representing Real-World Scenes.” Journal of Neuroscience 31.4 (2011): 1333–1340. Web. en_US http://dx.doi.org/10.1523/JNEUROSCI.3885-10.2011 Journal of Neuroscience Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Society for Neuroscience SFN |
spellingShingle | Park, Soojin Brady, Timothy F. Greene, Michelle R. Oliva, Aude Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes |
title | Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes |
title_full | Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes |
title_fullStr | Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes |
title_full_unstemmed | Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes |
title_short | Disentangling scene content from its spatial boundary: Complementary roles for the PPA and LOC in representing real-world scenes |
title_sort | disentangling scene content from its spatial boundary complementary roles for the ppa and loc in representing real world scenes |
url | http://hdl.handle.net/1721.1/70136 |
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