Morphological perceptrons with dendritic structure

G. Ritter, L. Iancu, G. Urcid
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引用次数: 53

Abstract

Recent advances in neurobiology and the biophysics of neural computation have brought to the foreground the importance of dendritic structures of neurons. These structures are now viewed as the primary basic computational units of the neuron, capable of realizing logical operations. Based on these new biophysical neural models, we develop a new paradigm for single layer perceptrons that incorporates dendritic processes. The basic computational processes in dendrites as well as neurons are based on lattice algebra. The computational capabilities of this new perceptron model is demonstrated by means of several illustrative examples and two theorems.
具有树突结构的形态感知器
神经生物学和神经计算生物物理学的最新进展使神经元树突结构的重要性得到重视。这些结构现在被视为神经元的主要基本计算单元,能够实现逻辑运算。基于这些新的生物物理神经模型,我们开发了一种包含树突过程的单层感知器的新范式。树突和神经元的基本计算过程都是基于格代数的。通过几个实例和两个定理证明了该感知器模型的计算能力。
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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