振荡神经Ellias-Grossberg模型的MOS实现

G. A. Bahgat, A. M. Mahmoud, S. Mashali, A. Salama
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引用次数: 0

摘要

振荡神经网络是一种试图模拟神经系统中负责视觉处理的生物神经元行为的网络。这些网络在图像处理中的应用发展迅速。虽然通过计算机模拟需要耗费大量的处理时间,但在集成电路上的实现仍处于初级阶段。我们开发了一个MOS晶体管电路,实现了Ellias-Grossberg (EG)振荡模型。这一发展经历了三个阶段:行为模拟阶段、预电路阶段和晶体管级实现阶段。比较了三个层次实现的行为。
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MOS implementation of oscillatory neural Ellias-Grossberg model
The oscillatory neural networks are kind of networks that try to model the behavior of the biological neurons in the part of the nervous system responsible of the vision processing. These networks are developing fast in the applications of image processing. Although they consume a lot of processing time by computer simulations, their implementation on integrated circuit is still in the early stages. We develop a MOS transistor circuit that implements Ellias-Grossberg (EG) oscillatory model. This development came on three stages: the behavioral simulation stage, the pre-circuit level stage and the transistor level implementation stage. The behavior of the three levels of implementation is compared.
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