对眼球回转系统中的改良猝发模型进行慢流形分析

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
F. S. Mousavinejad, M. Fatehi Nia
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引用次数: 0

摘要

囊回是导致囊回模型产生的眼球运动之一。这项工作的基础是囊回系统的基本原理,即爆发神经元和可重置积分器模型。考虑到在其基本模型的基础上加强囊回模型的可能性,我们引入了一个替代函数用于爆裂方程,该函数解释了开反应形式的保持,同时也考虑了关反应。新模型是一个包含慢变量和快变量的二维地图,带有一个新的布尔斯特函数,它解决了主函数在平衡点缺乏可微分性的问题。通过应用时间序列方法和相位肖像,揭示了新模型行为中尖峰和尖峰脉冲的产生机制。本研究的另一个重点是确定新开发系统的慢流形的几何形状。具体来说,我们利用费尼切尔定理研究了平衡点周围的动力学和慢流形的几何形状。此外,我们还利用中心流形理论来描述与慢速流形相匹配的中心流形的一些动力学特征。最后,本研究旨在弄清几何奇异扰动对该快慢爆破方程的影响,发现该方程具有均匀渐近稳定和局部吸引等动力学行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Slow manifold analysis of modified burst model in the saccadic system

Slow manifold analysis of modified burst model in the saccadic system

The saccade is one of the eye movements that resulted in the creation of the saccadic model. This work is grounded in the basic principles of the saccadic system, which are burst neurons and a resettable integrator model. Considering the possibility of strengthening the saccadic model based on its fundamental model, we introduce a replacement function for use in the burster equation that explains the preservation of the on response’s form and also considers the off response. The new model is a two-dimensional map containing slow and fast variables with a new burster function, which solves the lack of differentiability of the primary function at the equilibrium point. By applying time series approaches and phase portraits, the mechanisms underlying the generation of spikes and spike bursts in the behavior of the new model are revealed. The present research’s other main focus is to determine the geometry of the slow manifold for the newly developed system. Specifically, we examine the dynamics around an equilibrium point and the geometry of a slow manifold by using Fenichel’s theorem. In addition, we use the center manifold theory to describe some dynamical characteristics of the center manifold that the slow manifold matches. Finally, this study aims to figure out the effects of geometric singular perturbations on this fast-slow burster equation, which finds dynamical behaviors such as being uniformly asymptotically stable and locally attractive.

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来源期刊
Soft Computing
Soft Computing 工程技术-计算机:跨学科应用
CiteScore
8.10
自引率
9.80%
发文量
927
审稿时长
7.3 months
期刊介绍: Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
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