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Investigation in neural computation and circuitry of human visual motion perception.

机译:人类视觉运动感知的神经计算和电路研究。

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摘要

Motion is an important cue in the everyday lives of visual creatures. Motion information facilitates the separation of figure from background, aides in seeing objects that would otherwise be effectively camouflaged and surfaces that would be otherwise imperceptible. The research presented is an investigation of the neural correlates of complex motion stimuli. Experiment 1 is a psychophysical investigation of a complex motion phenomenon, called biological motion. Previous research has shown the resilience of this stimulus under highly degraded conditions, but by creating stimuli that favor the "form system", we measured the reliance of biological motion perception on the "motion system". We challenge form-based biological motion research, and we conclude that motion perception is necessary (but not sufficient) for perceiving biological motion. We conjecture that this insufficiency is due to another mechanism, in addition to those involved in simple motion discriminations. Experiment series 2 is a neuroimaging investigation of biological motion as a function of contrast modulations, which seeks to find the neural correlate of the effect found in Experiment 1. We specifically targeted the human middle temporal complex (hMT+, the motion-sensitive human homologue to monkey MT), a region implicated in motion perception and historically important in neuroscience research. We find the responses in hMT+ to be stimulus-dependent and to be a part of network of brain regions supporting complex motion perception. Experiment series 3 is a neuroimaging investigation of another form of complex motion perception, a phenomenon called motion transparency. When the visual system encounters two overlapping motion vectors, it resolves them by segmenting them into different surfaces (or objects). We attempt to uncover the neural basis of object segmentation defined by motion vectors. We find the hMT to house competing motion vectors with mutual inhibition, including a local competition between motion vectors as well as a global competition between motion-defined surfaces. These results add to the expansive literature on motion processing and depart from a more traditional depiction of the neural underpinnings of motion perception.
机译:运动是视觉生物日常生活中的重要线索。运动信息有助于将图形与背景分离,有助于看到否则会被有效伪装的物体以及否则会难以察觉的表面。提出的研究是对复杂运动刺激的神经相关性的研究。实验1是对称为生物运动的复杂运动现象的心理物理研究。先前的研究表明,这种刺激在高度退化的条件下具有弹性,但是通过创建有利于“形式系统”的刺激,我们测量了生物运动知觉对“运动系统”的依赖。我们挑战基于形式的生物运动研究,并且我们得出结论,运动知觉对于感知生物运动是必要的(但不足够)。我们推测,这种功能不足是由于除了简单动作识别中涉及的那些机制之外,还有其他机制引起的。实验系列2是对生物运动进行神经成像的研究,该运动是造影剂调制的函数,旨在寻找实验1中发现的效应的神经相关性。我们专门针对人类中颞复合体(hMT +,即对运动敏感的人类同源物)猴子MT),一个与运动感知有关的区域,在神经科学研究中具有重要的历史意义。我们发现hMT +中的响应是依赖刺激的,并且是支持复杂运动感知的大脑区域网络的一部分。实验系列3是对复杂运动感知的另一种形式的神经影像学研究,这种现象称为运动透明性。当视觉系统遇到两个重叠的运动矢量时,它通过将它们划分为不同的表面(或对象)来解析它们。我们试图揭示由运动矢量定义的对象分割的神经基础。我们发现hMT具有相互抑制的竞争运动矢量,包括运动矢量之间的局部竞争以及运动定义的曲面之间的全局竞争。这些结果增加了关于运动处理的广泛文献,并且偏离了运动感知的神经基础的更传统的描述。

著录项

  • 作者

    Garcia, Javier Omar.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Biology Neuroscience.;Psychology Cognitive.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 129 p.
  • 总页数 129
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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