NEURAL VISUAL CODING--IMAGE TO OBJECT REPRESENTATION

未来五年的主要目标是找到一种生理学方法 感知的核心问题：概念和表征 提出实验来检验 视觉中的临时（情景）对象表征， 作为视觉中图像处理的中间阶段 大脑皮层以及物体识别和记忆的过程。的 实验旨在区分几种替代方案， 关于这种表征的性质的理论。项目的核心 是“绑定问题”，即，这个系统如何将 属于一个对象的特征、属性或部件， 对象存在于场景中，以何种形式以及持续多长时间， 表示此信息，它如何从先前的 在移动或改变对象的情况下，以及它如何跟踪 对象身份。 这些问题的答案对于理解感知和 意识和大脑皮层的功能。 具体来说，它们将有助于更好地理解视觉 中枢神经系统疾病 一个新的行为范例和新的视觉测试显示将被用于 结合多电极细胞外神经元记录来研究 物体表征的形成和衰变及其在 物体的识别和识别。重点将是 视觉区V4和下颞叶皮层的记录 将使用锋电位序列分析的方法来分析 神经元反应，特别注意时间连贯性 在神经元内和神经元之间。当前的图像分割理论， 将对要素绑定和对象表示进行评估， 根据结果建立模型。

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.