@article{Cofré:2019:10.3390/e21090884,
author = {Cofré, R and Videla, L and Rosas, F},
doi = {10.3390/e21090884},
journal = {Entropy},
pages = {1--28},
title = {An introduction to the non-equilibrium steady states of maximum entropy spike trains},
url = {http://dx.doi.org/10.3390/e21090884},
volume = {21},
year = {2019}
}

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TY  - JOUR
AB  - 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.
AU  - Cofré,R
AU  - Videla,L
AU  - Rosas,F
DO  - 10.3390/e21090884
EP  - 28
PY  - 2019///
SN  - 1099-4300
SP  - 1
TI  - An introduction to the non-equilibrium steady states of maximum entropy spike trains
T2  - Entropy
UR  - http://dx.doi.org/10.3390/e21090884
UR  - https://www.mdpi.com/1099-4300/21/9/884
UR  - http://hdl.handle.net/10044/1/73582
VL  - 21
ER  - 

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