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An introduction to the non-equilibrium steady states of maximum entropy spike trains

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Title: An introduction to the non-equilibrium steady states of maximum entropy spike trains
Authors: Cofré, R
Videla, L
Rosas, F
Item 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.
Issue Date: 11-Sep-2019
Date of Acceptance: 7-Sep-2019
URI: http://hdl.handle.net/10044/1/73582
DOI: https://doi.org/10.3390/e21090884
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/).
Keywords: 01 Mathematical Sciences
02 Physical Sciences
Fluids & Plasmas
Publication Status: Published
Open Access location: https://www.mdpi.com/1099-4300/21/9/884
Online Publication Date: 2019-09-11
Appears in Collections:Department of Brain Sciences