NEURAL VISUAL CODING--IMAGE TO OBJECT REPRESENTATION

未来五年的总体目标是找到一种生理学方法 知觉的一个核心问题：概念和表征 对象和实验的提出，将检验假说 视觉中的临时性(情节式)物体表征，是思维 是视觉中图像处理的中间阶段 大脑皮层和物体识别和记忆的过程。这个 实验的目的是区分几种可选方案 关于这种陈述的性质的理论。该项目的中心 是“绑定问题”，即系统如何关联的问题 属于一个对象时属于多个对象的要素、属性或部件 物体存在于场景中，以何种形式存在，持续多长时间 表示此信息，以及它如何从以前的 在移动或改变对象的情况下的时刻，以及它如何跟踪 对象身份的特征。 对这些问题的回答对于理解认知和 意识，以及大脑皮层的功能。 具体地说，它们将有助于更好地理解视觉 中枢性疾病。 将使用新的行为范例和新的视觉测试显示 结合多电极细胞外神经元记录进行研究 客体表象的形成和衰变及其在 物体的识别和识别。重点将放在 从视觉区域V4和下颞叶皮质记录到的 将使用穗序列分析的方法来分析 神经元反应，特别注意时间连贯性 在神经元内部和之间。当前的图像分割理论， 功能绑定和对象表示将被评估，以及新的 在研究结果的基础上开发了模型。

The broad aim for the next five years is to find a physiological approach to a central question of perception: the conception and representation of object& Experiments are proposed that will test the hypothesis of temporary (episodic) object representations in vision which are thought to be the intermediate stage between the image processing in visual cortex and the processes of object recognition and memory. The experiments are aimed at distinguishing between several alternative theories on the nature of such representations. Central to the project is the "binding problem", i.e., the question of how the system associates the features, attributes, or parts that belong to one object when several objects are present in a scene, in which form and for how long it represents this information, how it retrieves information from previous moments in the case of moving or changing objects, and how it keeps track of object identity. Answers to these questions are important for understanding perception and consciousness, and the function of the cerebral cortex in general. Specifically, they will contribute to a better understanding of visual disorders of central origin. A new behavioral paradigm and new visual test displays will be used in combination with multi-electrode extracellular neuron recordings to study the formation and decay of object representations and their use in recognition and identification of objects. The emphasis will be on recordings from visual area V4 and the inferior temporal cortex Various methods of spike train analysis will be used to analyze the patterns of neuronal responses, with particular attention to temporal coherence within and between neurons. Current theories of image segmentation, feature binding, and object representation will be evaluated, and new models developed, on the basis of the results.