文章基本信息

标题：HYSTERETIC SYNCHRONIZATION MODELS OF BIOLOGICAL NEURONS
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作者：MIKHAIL SEMENOV ; EVGENIA KABULOVA ; VLADIMIR MIKHAILOV 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：81
期号：2
出版社：Journal of Theoretical and Applied
摘要：The article provides a synchronization model of biological neurons based on the hysteretic properties of metabotropic receptive clusters. We study the properties of the proposed model and various variants of connections between individual neurons. The advantage of the proposed model is its �ordered� response to external environment, which is determined by the hysteretic connection between individual neurons. The described biological neural network model may find application in the segmentation tasks and classification with efficiency exceeding standard numerical algorithms of data handling.
关键词：Neural Networks; Hysteresis; Simulation; Attractor; Delay Differential Equations.