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脉冲神经元数学模型：简要概述

Spiking Neuron Mathematical Models: A Compact Overview.

作者信息

Fortuna Luigi, Buscarino Arturo

机构信息

Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, 95125 Catania, Italy.

IASI, Consiglio Nazionale delle Ricerche (CNR), 00185 Roma, Italy.

出版信息

Bioengineering (Basel). 2023 Jan 29;10(2):174. doi: 10.3390/bioengineering10020174.

DOI:10.3390/bioengineering10020174
PMID:36829668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9952045/
Abstract

The features of the main models of spiking neurons are discussed in this review. We focus on the dynamical behaviors of five paradigmatic spiking neuron models and present recent literature studies on the topic, classifying the contributions based on the most-studied items. The aim of this review is to provide the reader with fundamental details related to spiking neurons from a dynamical systems point-of-view.

摘要

本综述讨论了脉冲神经元主要模型的特征。我们聚焦于五个典型脉冲神经元模型的动力学行为，并展示该主题的近期文献研究，根据研究最多的项目对这些贡献进行分类。本综述的目的是从动力系统的角度为读者提供与脉冲神经元相关的基本细节。

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