Modeling and Analysis of Spike-Train Based on Poisson-GML

Autor:	Yuanpeng Li, Wenge Yang, Yile Fan, Yu Zhang
Rok vydání:	2022
Předmět:	History Quantitative Biology::Neurons and Cognition Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2173:012015
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2173/1/012015
Popis:	Mathematical modeling is of great significance to the study of brain function. In this paper, an analysis method based on Poisson’s general linear model is adopted to model the brain impulse sequence. First, the ideas of Hodegkin-Hulex model, STA and Poisson’s general linear model are introduced. Secondly, the implementation of the general linear model is introduced. Finally, Poisson GLM Fit Spike-train is simulated and compared with Linear Gaussian-GLM. The AIC tradeoff estimation model fits well. The superiority of Poisson GLM Fit Spike-Train is demonstrated
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::81821de3ea558ef6e17b92611761abd1 https://doi.org/10.1088/1742-6596/2173/1/012015 Zobrazit plný text záznamu