NEURAL BASIS OF MONOCULAR AND BINOCULAR TEXTURE ANALYSIS

这项研究的长期目标是确定视觉 大脑皮层的一部分分析通过大脑皮层进入的信息。 两只眼睛，并将其转化为对感知有用的形式。 的 拟议的项目方法的问题，视觉信息处理 使用电生理记录方法， 视觉刺激和分析技术。 该方法适用于 皮层神经元如何分析视觉纹理信息问题 并将其与亮度线索结合起来。 一个假说是 提出，纹理敏感神经元代表第三和第四， 视觉皮层中的等级处理阶段。 为了验证这一 假设，纹理单元的级联模型是基于 “纹理感受野”的概念。“以下具体目标 将得到解决。 (1)纹理单元的模型将开发基于级联 执行相同神经计算的组织 连续两次。 计算研究将检验这个模型 预测纹理感知和细胞反应的已知特性。 (2)级联模型将通过测量 视觉神经元的纹理感受野，并将它们与 模型的预测。 神经元的特异性连接 模型将通过分析同时记录的活动来寻求 神经元群。 (3)混合纹理和亮度定义刺激的神经反应 将研究如何纹理神经元整合这两个 线索 (4)通过两只眼睛同时刺激纹理神经元， 纹理信息在双目视觉中的作用， 将检查立体视觉。 (5)神经纹理反应的发育时间过程将是 在年轻的动物身上研究。 这些研究将产生一个功能示意图的纹理- 视觉皮层的亮度处理通路。如此详细 对大脑回路的描述将在诊断和 了解视觉障碍。

The long-term objective of this research is to determine how the visual part of the cerebral cortex analyzes information that enter through the two eyes, and transforms it into a form useful for perception. The proposed project approaches the problem of visual information processing using electrophysiological recording methods combined with elaborate visual stimulation and analysis techniques. The methods are applied to the problem of how cortical neurons analyze visual texture information and integrate it with that from brightness cues. A hypothesis is proposed that texture-sensitive neurons represent third and fourth stages of hierarchical processing in the visual cortex. To test this hypothesis, a cascaded model of texture cells is constructed based on the notion of "texture receptive field." The following specific aims will be addressed. (1) A model of texture cells will be developed based on a cascaded organization in which the identical neural computation is performed twice serially. Computational studies will examine how well this model predicts known properties of texture perception and cell responses. (2) The cascade model will be tested neurophysiologically by measuring texture receptive fields of visual neurons and comparing them to predictions of the model. Specific neural connections predicted by the model will be sought by analyzing activities of simultaneously recorded groups of neurons. (3) Neural responses to mixed texture and brightness-defined stimuli will be studied to determine how texture neurons integrate these two cues. (4) By stimulating texture neurons simultaneously through the two eyes, the roles that texture information plays in binocular vision and stereopsis will be examined. (5) Developmental time course of neural texture responses will be studied in young animals. These studies will yield a functional schematic diagram of the texture- brightness processing pathway of the visual cortex. Such detailed description of the brain circuitry will be valuable in diagnosing and understanding visual disorders.