von der Malsburg C, Buhmann J
Institut für Neuroinformatik, Ruhr-Universität Bochum, Federal Republic of Germany.
Biol Cybern. 1992;67(3):233-42. doi: 10.1007/BF00204396.
We present a model of sensory segmentation that is based on the generation and processing of temporal tags in the form of oscillations, as suggested by the Dynamic Link Architecture. The model forms the basis for a natural solution to the sensory segmentation problem. It can deal with multiple segments, can integrate different cues and has the potential for processing hierarchical structures. Temporally tagged segments can easily be utilized in neural systems and form a natural basis for object recognition and learning. The model consists of a "cortical" circuit, an array of units that act as local feature detectors. Units are formulated as neural oscillators. Knowledge relevant to segmentation is encoded by connections. In accord with simple Gestalt laws, our concrete model has intracolumnar connections, between all units with overlapping receptive fields, and intercolumnar connections, between units responding to the same quality in different positions. An inhibitory connection system prevents total correlation and controls the grain of the segmentation. In simulations with synthetic input data we show the performance of the circuit, which produces signal correlation within segments and anticorrelation between segments.
我们提出了一种感觉分割模型，该模型基于动态链接架构所提出的以振荡形式生成和处理时间标记。该模型为感觉分割问题提供了一种自然的解决方案。它可以处理多个片段，整合不同线索，并具有处理层次结构的潜力。时间标记的片段可以很容易地在神经系统中得到利用，并为物体识别和学习形成自然基础。该模型由一个“皮质”回路组成，这是一组充当局部特征检测器的单元。单元被设定为神经振荡器。与分割相关的知识通过连接进行编码。根据简单的格式塔定律，我们的具体模型具有柱内连接（在所有具有重叠感受野的单元之间）和柱间连接（在不同位置对相同性质做出反应的单元之间）。一个抑制性连接系统可防止完全相关，并控制分割的粒度。在对合成输入数据的模拟中，我们展示了该回路的性能，它在片段内产生信号相关，而在片段之间产生反相关。
