Mid-level mechanisms of surface and binocular perception

表面和双眼感知的中层机制

• 批准号: 8693376
• 负责人: Zijiang He
• 金额: $ 36.31万
• 依托单位: UNIVERSITY OF LOUISVILLE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8693376
• 关键词: 3-Dimensional; Affect; Aging; Amblyopia; Attention; Behavioral; Clinical; Code; Color; Complex; Crowding; Diagnosis; Ensure; Environment; Eye; Feedback; Frequencies; Functional disorder; Goals; Grant; Human; Image; Knowledge; Link; Location; Measurement; Motion; Occupations; Ownership; Pattern; Perception; Perceptual learning; Play; Process; Property; Protocols documentation; Psychophysics; Research; Resolution; Retinal; Role; Space Perception; Strabismus; Surface; System; Testing; Texture; Time; Training; Visual; Visual Perception; Visual system structure; base; detector; falls; feeding; improved; luminance; neurophysiology; object perception; object shape; operation; public health relevance; research study; visual information; visual process; visual processing; visual stimulus

DESCRIPTION (provided by applicant): Retinal images are inherently fragmentary and ambiguous because images of separate entities overlap. But the early visual mechanisms are not equipped to parse the overlapping 2-D retinal images into distinct 3-D entities. The job of parsing these images falls on the mid-level mechanisms, whose main role is to represent the distinct entities as separate surfaces. The represented surface information then serves as inputs to the WHAT and WHERE systems that underlie our 3-D perception of objects and space, respectively. As such, the mid-level mechanisms are not just simple "conduits" of information between early and late level visual mechanisms but play a crucial role in determining the quality and reliability of the visual information conveyed. Compared to other aspects of visual processing, less is known about the mid-level mechanisms. One of the biggest challenges is to discover how the often fragmentary and ambiguous retinal information is transformed into reliable surface representations, presumably, through a spreading-in operation. At times, when an image belonging to the same entity is broken into parts due to occlusion, a surface interpolation operation is required to integrate the parts into a global surface. Moreover, inputs from the two eyes that contribute to these operations can be disparate in content and location. In the face of the myriad complexities of the visual inputs, it is further proposed that the mid-level mechanisms must rely on internal assumptions (perceptual rules) and feedbacks from the higher visual levels for guidance in representing surfaces. But how these operations are accomplished is still unclear. Remedying it, this proposal uses the human psychophysical approach to investigate the above issues by focusing on three specific aims. Aim 1 investigates how the spreading-in operation represents surfaces with texture patterns, which is more complex than representing texture-free surfaces. It is proposed the principle of reducing coding redundancy that governs the spreading-in operation causes the global surface representation operation to be efficient but prone to poor resolution. The latter could be one basis of the well-known "crowding effect" phenomenon. Aim 2 investigates the texture-surface interpolation operation. Cognizant of the roles of attention and object knowledge, the research investigates how these top-down factors influence surface integration. Aim 3 investigates the long-term plasticity of the mid-level mechanisms. Perceptual learning experiments will be conducted to reveal how extensive training modifies the perceptual rules implemented at the mid-level. The long-term goal of this proposal is to advance our knowledge of how visual information is processed and represented by the mid-level mechanisms. This knowledge helps us better understand how humans perceive the visual world, and provides a clinical basis for behavioral diagnoses and treatments of visual dysfunctions related to amblyopia, strabismus and aging.

描述（由申请人提供）：视网膜图像本质上是碎片和模糊的，因为不同实体的图像重叠。但是早期的视觉机制还不能将重叠的二维视网膜图像解析为不同的三维实体。解析这些图像的工作落在中间层机制上，其主要作用是将不同的实体表示为单独的表面。然后，所表示的表面信息作为WHAT和WHERE系统的输入，这两个系统分别构成了我们对物体和空间的三维感知。因此，中级机制不仅仅是早期和晚期视觉机制之间信息的简单“管道”，而且在决定所传达的视觉信息的质量和可靠性方面起着至关重要的作用。与视觉处理的其他方面相比，对中级机制的了解较少。最大的挑战之一是发现如何将经常是碎片和模糊的视网膜信息转换为可靠的表面表示，大概是通过扩展操作。有时，当属于同一实体的图像由于遮挡而被分割成多个部分时，需要进行曲面插值操作，将各个部分整合到一个全局曲面中。此外，有助于这些操作的两只眼睛的输入在内容和位置上可能是不同的。面对无数复杂的视觉输入，我们进一步提出，中层机制必须依赖内部假设（感知规则）和来自更高视觉层次的反馈来指导表征表面。但这些行动是如何完成的尚不清楚。为了弥补这一点，本提案采用人类心理物理学的方法，通过关注三个具体目标来调查上述问题。Aim 1研究了扩展操作如何表示具有纹理图案的表面，这比表示无纹理的表面更复杂。提出了减少编码冗余的原则，该原则支配着扩展运算，导致全局表面表示运算效率高，但容易出现分辨率差的问题。后者可能是众所周知的“拥挤效应”现象的一个基础。目的2研究纹理-曲面插值操作。在认识到注意力和客体知识的作用后，本研究探讨了这些自上而下的因素如何影响表面整合。目的3研究中级机制的长期可塑性。将进行感知学习实验，以揭示广泛的训练如何修改在中级实施的感知规则。这一建议的长期目标是推进我们对视觉信息是如何被中间层机制处理和表示的认识。这些知识有助于我们更好地理解人类如何感知视觉世界，并为弱视、斜视和衰老相关的视觉功能障碍的行为诊断和治疗提供临床依据。