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Interaction between Scene and Object Processing Revealed by Human fMRI and MEG Decoding.通过人类功能磁共振成像和脑磁图解码揭示场景与物体加工之间的相互作用
J Neurosci. 2017 Aug 9;37(32):7700-7710. doi: 10.1523/JNEUROSCI.0582-17.2017. Epub 2017 Jul 7.
2
Category selectivity in human visual cortex: Beyond visual object recognition.人类视觉皮层的类别选择性:超越视觉物体识别。
Neuropsychologia. 2017 Oct;105:177-183. doi: 10.1016/j.neuropsychologia.2017.03.033. Epub 2017 Apr 2.
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CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave.CoSMoMVPA:Matlab/GNU Octave中神经影像数据的多模态多变量模式分析
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Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions.交互包络:场景选择区域中所有尺度物体的局部空间表征。
Neuroimage. 2015 Nov 15;122:408-16. doi: 10.1016/j.neuroimage.2015.07.066. Epub 2015 Jul 30.
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Evidence for participation by object-selective visual cortex in scene category judgments.客体选择性视觉皮层参与场景类别判断的证据。
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Thinking outside the box: rectilinear shapes selectively activate scene-selective cortex.跳出固有思维:直线形状可选择性地激活场景选择性大脑皮层。
J Neurosci. 2014 May 14;34(20):6721-35. doi: 10.1523/JNEUROSCI.4802-13.2014.
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Encoding-Stage Crosstalk Between Object- and Spatial Property-Based Scene Processing Pathways.基于物体和空间属性的场景处理通路之间的编码阶段串扰。
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The influence of scene context on object recognition is independent of attentional focus.场景上下文对物体识别的影响独立于注意力焦点。
Front Psychol. 2013 Aug 20;4:552. doi: 10.3389/fpsyg.2013.00552. eCollection 2013.
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The role of the parahippocampal cortex in cognition.海马旁回皮层在认知中的作用。
Trends Cogn Sci. 2013 Aug;17(8):379-90. doi: 10.1016/j.tics.2013.06.009. Epub 2013 Jul 10.
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Transcranial magnetic stimulation to the transverse occipital sulcus affects scene but not object processing.经颅磁刺激横枕沟影响场景而非物体加工。
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雾中地标:物体有助于左场景选择性皮质中的场景再现。

Signposts in the Fog: Objects Facilitate Scene Representations in Left Scene-selective Cortex.

机构信息

University of Trento.

Radboud University.

出版信息

J Cogn Neurosci. 2019 Mar;31(3):390-400. doi: 10.1162/jocn_a_01258. Epub 2018 Mar 21.

DOI:10.1162/jocn_a_01258
PMID:29561241
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6033316/
Abstract

We internally represent the structure of our surroundings even when there is little layout information available in the visual image, such as when walking through fog or darkness. One way in which we disambiguate such scenes is through object cues; for example, seeing a boat supports the inference that the foggy scene is a lake. Recent studies have investigated the neural mechanisms by which object and scene processing interact to support object perception. The current study examines the reverse interaction by which objects facilitate the neural representation of scene layout. Photographs of indoor (closed) and outdoor (open) real-world scenes were blurred such that they were difficult to categorize on their own but easily disambiguated by the inclusion of an object. fMRI decoding was used to measure scene representations in scene-selective parahippocampal place area (PPA) and occipital place area (OPA). Classifiers were trained to distinguish response patterns to fully visible indoor and outdoor scenes, presented in an independent experiment. Testing these classifiers on blurred scenes revealed a strong improvement in classification in left PPA and OPA when objects were present, despite the reduced low-level visual feature overlap with the training set in this condition. These findings were specific to left PPA/OPA, with no evidence for object-driven facilitation in right PPA/OPA, object-selective areas, and early visual cortex. These findings demonstrate separate roles for left and right scene-selective cortex in scene representation, whereby left PPA/OPA represents inferred scene layout, influenced by contextual object cues, and right PPA/OPA represents a scene's visual features.

摘要

即使在视觉图像中可用的布局信息很少,例如在雾或黑暗中行走时,我们也会在内部表示周围环境的结构。我们消除此类场景歧义的一种方法是通过对象线索;例如,看到一艘船支持这样的推断,即有雾的场景是一个湖泊。最近的研究调查了对象和场景处理相互作用以支持对象感知的神经机制。本研究通过对象促进场景布局的神经表示的反向相互作用来检查。室内(封闭)和室外(开放)真实场景的照片变得模糊,以至于仅凭自身难以分类,但通过包含对象很容易消除歧义。使用 fMRI 解码来测量场景选择性旁海马体位置区域 (PPA) 和枕叶位置区域 (OPA) 中的场景表示。在独立实验中,使用分类器来区分完全可见的室内和室外场景的反应模式。在存在对象的情况下,对模糊场景进行这些分类器的测试显示,即使在这种情况下与训练集的低水平视觉特征重叠减少,左 PPA 和 OPA 中的分类也有很大提高。这些发现是左 PPA/OPA 特有的,在右 PPA/OPA、对象选择区域和早期视觉皮层中没有发现对象驱动的促进作用的证据。这些发现表明左和右场景选择性皮质在场景表示中具有单独的作用,其中左 PPA/OPA 表示推断的场景布局,受上下文对象线索的影响,而右 PPA/OPA 表示场景的视觉特征。