期刊
JOURNAL OF MATHEMATICAL NEUROSCIENCE
卷 5, 期 -, 页码 -出版社
SPRINGER
DOI: 10.1186/s13408-015-0018-5
关键词
-
Stochastic differential equations (SDEs) have multiple applications in mathematical neuroscience and are notoriously difficult. Here, we give a self-contained pedagogical review of perturbative field theoretic and path integral methods to calculate moments of the probability density function of SDEs. The methods can be extended to high dimensional systems such as networks of coupled neurons and even deterministic systems with quenched disorder.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据