IMAGE REPRESENTATION IN THE PRIMARY VISUAL CORTEX

初级视觉皮层的图像表征

• 批准号: 2630892
• 负责人: ALLAN GOTTSCHALK
• 金额: $ 22.8万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-07-01 至 2002-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2630892
• 关键词: binocular vision; computational neuroscience; lateral geniculate body; neural information processing; neuroanatomy; synapses; visual cortex; visual fields; visual pathways; visual perception

The investigations described in this application are designed to link established results from visual physiology and psychophysics with well- known principles of information processing, and, in the process establish the extent that such principles underlie the processing of sensory inputs. This approach employs analytic and computational techniques whose predictions are tested by established physiologic data. Portions of the visual cortex are among the most well-studied regions of the brain, and such studies are complemented by extensive bodies of psychophysical experiments. Consequently, the properties of individual neurons and visual channels are well-established, and the characteristic arrangement of these neurons over the visual cortex is known with increasing refinement. There is growing focus on the connections between these different neurons, and the interactions mediated by these connections. However, the question whose answer lags behind all of this progress is, why? It is intuitively appealing to think that the properties of the individual neurons, their spatial arrangement over the cortex, and their interactions are all geared towards representing visual stimuli in a manner that maximizes the use of available neural resources. Such resources would include the number of neurons, the size of their synapses, and the length of the connections between them. This application continues work that quantitatively develops and tests these concepts. Thus far, work of this type has revealed how many of the cardinal properties of visual neurons and their arrangement over the cortex emerges when the synapse is the fundamental unit of neural information processing. The current application continues its pursuit of these concepts by seeking an explanation for the connections between the many types of visual neurons and the interactions ascribed to these connections. It is hypothesized that such connections permit the visual system to continue to optimize itself in a changing visual environment, and that many complex phenomena produced by these interactions are the consequence of the optimization. The results from these studies will be used to guide the development of more complex models of neural information processing, and may be applicable to other regions of the central nervous system. In addition, this material provides an important quantitative link between biologic and synthetic methods of image representation.

本应用程序中描述的调查旨在链接 从视觉生理学和心理物理学中建立的结果 已知的信息处理原则，并在此过程中 确定这样的原则是处理的范围 感觉输入。 这种方法采用分析和计算 通过已建立的生理数据测试预测的技术。 视觉皮层的一部分是研究最精心良好的区域之一 大脑和此类研究得到了广泛的体系 心理物理实验。 因此，个人的特性 神经元和视觉频道已经建立了良好的特征 这些神经元在视觉皮层上的排列已知 增加精致。 越来越关注连接 在这些不同的神经元之间以及这些介导的相互作用之间 连接。 但是，答案落在所有这些背后的问题 进度是，为什么？ 直观地认为认为 单个神经元，它们在皮层上的空间排列及其 相互作用都旨在代表一个视觉刺激 最大化使用可用神经资源的方式。 这样的 资源将包括神经元的数量，其大小 突触和它们之间的连接长度。 这 应用程序继续进行定量开发和测试这些工作 概念。 到目前为止，这种类型的工作揭示了多少个红衣主教 视觉神经元的特性及其在皮质上的排列 当突触是神经信息的基本单位时出现 加工。 当前的申请继续追求这些 通过寻求对许多人之间的联系的解释来概念 视觉神经元的类型以及归因于这些的相互作用 连接。 假设这种连接允许视觉 在不断变化的视觉环境中继续优化自身的系统， 这些相互作用产生的许多复杂现象是 优化的结果。 这些研究的结果将用于指导发展 更复杂的神经信息处理模型，可能是 适用于中枢神经系统的其他区域。 此外， 该材料在生物学之间提供了重要的定量联系 和图像表示的合成方法。