Abstract

We describe an oscillatory neural network designed as a system of generalized phase oscillators with a central element. It is shown that a winner-take-all principle can be realized in this system in terms of the competition of peripheral oscillators for the synchronization with a central oscillator. Several examples illustrate how this network can be used for the simulation of various cognitive functions: consecutive selection of objects in the image, visual search, and multiple object tracking.

中文翻译：

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通过振荡神经网络建模大脑认知功能

摘要

我们描述了一个振荡神经网络，它被设计为具有中心元素的广义相位振荡器系统。结果表明，就外围振荡器与中央振荡器同步的竞争而言，该系统可以实现赢家通吃的原则。几个示例说明了如何将该网络用于各种认知功能的仿真：图像中对象的连续选择，视觉搜索和多对象跟踪。