多特性仿生统一神经元模型

Multi-characteristic bionic unified neuron model

为对几十种神经元模型做出统一描述,总结归纳出目前生物医学界和工程科学界普遍认可的生物神经元的十二大基本特性,并以此为基础提出了一种更为全面反映生物神经元特性的人工神经元统一框架模型——多特性仿生统一神经元(MBUN)模型.经验证,该模型可有效描述各种常见神经元模型及学习算法.

To describe uniformly the current dozens of neuron models, multi-characteristic bionic unified neuron （MBUN） model which can reflect more complete characteristics of the biologic neuron was developed based on the 12 basic characteristics of the biologic neuron universally approved by biomedical and engineering science field. Tests show that MBUN model can describe various neuron models and learning algorithms effectively.