Numerical Investigation of the Two-Dimensioaln Neural Field Equation with Delay

P. Lima, E. Buckwar
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引用次数: 7

Abstract

Neural Field Equations (NFEs) are integrodifferential equations which describe the electric potential field and the interaction between neurons, in certain regions of the brain. They are becoming increasingly important for the interpretation of EEG, fMRi and optical imaging data. In the present article we describe a new efficient algorithm for the numerical simulation of two-dimensional neural fields with delays. The main features of this method are discussed and its performance is illustrated by some numerical examples.
二维时滞神经场方程的数值研究
神经场方程(nfe)是描述大脑某些区域的电位场和神经元之间相互作用的积分微分方程。它们在脑电图、功能磁共振成像和光学成像数据的解释中变得越来越重要。本文描述了一种新的具有延迟的二维神经场数值模拟算法。讨论了该方法的主要特点,并通过数值算例说明了其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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