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fMRI and behavioural investigations of the processing of shape and surface properties in object perception.

机译:功能磁共振成像和在物体感知中处理形状和表面特性的行为研究。

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摘要

Humans have the ability to recognize objects in their environment from a number of different visual features, such as their shape and their material properties (from surface-based visual cues such as colour and texture). Most studies of object recognition, however, have focused on shape, and thus comparatively little is known about how the brain processes surface and material properties to accomplish successful object recognition. To investigate this, I used functional magnetic resonance imaging (fMRI) and behavioural paradigms to study the interactions between shape, colour, and texture in the human brain.;But demonstrating that separate brain regions process shape and surface properties does not necessarily mean that these brain regions function independently. Thus, in a second project, I used a behavioural attentional paradigm to show that the separate brain regions recruited during the perception of shape and surface properties can indeed function independently during object recognition---at least under conditions where perceiving the surface properties means perceiving the material from which the objects were made (Chapter 3; Cant et al., 2008).;But it is also possible for surface properties to provide cues to an object's shape (e.g. shape-from-texture and shape-from-shading), and when this is the case, the processing of these attributes may be more interactive. Thus, in a third project, I used stimuli where surface properties contribute more directly to the perception of 3-D shape, and using the same attentional paradigm used in the second project, I demonstrated that shape and surface properties in this situation are not processed independently, and instead appear to share common processing resources (Chapter 4; Cant & Goodale, 2009).;Taken together, these neuroimaging and behavioural studies suggest that there are different networks of processing for visual surface properties - one network where surface cues contribute to the perception of object shape, and another network where surface cues contribute to the perception of an object's material properties. These findings elaborate on current models of object recognition by providing a detailed account of the types of cues we use to recognize objects (i.e. stressing the importance of both shape and surface properties). In addition, these findings suggest that current models of visual cortical organization should focus not only on the particular stimulus category to which a region maximally responds (e.g. objects, faces, scenes), but also on the stimulus attributes that best support the processing of that category (e.g. shape, surface properties). Importantly, this principle may also apply to the organization of other cortical sensory systems.;In a first project, I used fMRI and provided evidence for the existence of a functional and anatomical sub-division for processing the shape and the surface properties of objects in the visual system (Chapter 2; Cant, Amott, & Goodale, 2009). Specifically, shape is processed in more lateral regions of the visual system (such as the lateral occipital area, or area LO), whereas surface properties are processed in more medial and anterior regions (such as the collateral sulcus).;Keywords. vision, object recognition, perception, shape, surface properties, colour, texture, material properties, attention, fMRI, occipito-temporal cortex
机译:人类有能力从许多不同的视觉特征(例如形状和材料特性)(从基于表面的视觉线索,例如颜色和纹理)中识别出环境中的物体。然而,大多数对象识别的研究都集中在形状上,因此对大脑如何处理表面和材料特性以成功完成对象识别的了解相对较少。为了对此进行研究,我使用了功能磁共振成像(fMRI)和行为范式来研究人脑中形状,颜色和纹理之间的相互作用;但是证明分开的大脑区域处理形状和表面特性并不一定意味着这些大脑区域独立运作。因此,在第二个项目中,我使用了一种行为注意范式来表明,在感知形状和表面特性的过程中募集的各个大脑区域确实可以在对象识别期间独立运行-至少在感知表面特性意味着感知的条件下(第3章; Cant等人,2008);但是表面属性也可以为物体的形状提供提示(例如,从纹理到阴影的形状) ,并且在这种情况下,这些属性的处理可能更具交互性。因此,在第三个项目中,我使用了刺激,其中表面属性更直接地影响了3D形状的感知,并且使用第二个项目中使用的相同注意力范例,我证明了这种情况下的形状和表面属性未得到处理独立地,而是似乎共享共同的处理资源(第4章; Cant和Goodale,2009年)。总的来说,这些神经影像学和行为学研究表明,存在着不同的视觉表面性质处理网络-一个表面线索有助于处理视觉网络。物体形状的感知,以及其他表面暗示有助于物体材料属性感知的网络。这些发现通过详细说明我们用于识别对象的提示类型(即强调形状和表面属性的重要性),详细阐述了当前的对象识别模型。此外,这些发现表明,当前的视觉皮层组织模型不仅应侧重于区域最大响应的特定刺激类别(例如,对象,面部,场景),而且应侧重于最能支持该刺激处理的刺激属性。类别(例如形状,表面特性)。重要的是,该原理也可能适用于其他皮质感觉系统的组织。在第一个项目中,我使用了功能磁共振成像,并提供了功能和解剖细分的存在的证据,用于处理物体的形状和表面特性。视觉系统(第2章; Cant,Amott和Goodale,2009年)。具体而言,形状是在视觉系统的更多外侧区域(例如枕骨外侧区域或LO区域)加工的,而表面特性是在内侧和前侧的更多区域(例如侧沟)进行加工的。视觉,物体识别,感知,形状,表面特性,颜色,纹理,材料特性,注意,fMRI,枕颞皮质

著录项

  • 作者

    Cant, Jonathan S.;

  • 作者单位

    The University of Western Ontario (Canada).;

  • 授予单位 The University of Western Ontario (Canada).;
  • 学科 Biology Neuroscience.;Psychology Psychobiology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 244 p.
  • 总页数 244
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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