An introduction to the non-equilibrium steady states of maximum entropy spike trains
File(s)entropy-21-00884-v2.pdf (1.81 MB)
Published version
OA Location
Author(s)
Cofré, Rodrigo
Videla, Leonardo
Rosas, Fernando
Type
Journal Article
Abstract
Although most biological processes are characterized by a strong temporal asymmetry, several popular mathematical models neglect this issue. Maximum entropy methods provide a principled way of addressing time irreversibility, which leverages powerful results and ideas from the literature of non-equilibrium statistical mechanics. This tutorial provides a comprehensive overview of these issues, with a focus in the case of spike train statistics. We provide a detailed account of the mathematical foundations and work out examples to illustrate the key concepts and results from non-equilibrium statistical mechanics.
Date Issued
2019-09-11
Date Acceptance
2019-09-07
Citation
Entropy, 2019, 21 (9), pp.1-28
ISSN
1099-4300
Publisher
MDPI
Start Page
1
End Page
28
Journal / Book Title
Entropy
Volume
21
Issue
9
Copyright Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Identifier
https://www.mdpi.com/1099-4300/21/9/884
Subjects
01 Mathematical Sciences
02 Physical Sciences
Fluids & Plasmas
Publication Status
Published
Date Publish Online
2019-09-11