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An Introduction to the Non-Equilibrium Steady States of Maximum Entropy Spike Trains
- Source :
- Entropy, Entropy, Vol 21, Iss 9, p 884 (2019)
- Publication Year :
- 2019
- Publisher :
- MDPI, 2019.
-
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.
- Subjects :
- Computer science
Fluids & Plasmas
Spike train
media_common.quotation_subject
General Physics and Astronomy
lcsh:Astrophysics
spike train statistics
01 natural sciences
Asymmetry
entropy production
010305 fluids & plasmas
lcsh:QB460-466
0103 physical sciences
Tutorial
Statistical physics
lcsh:Science
010306 general physics
01 Mathematical Sciences
media_common
02 Physical Sciences
Mathematical model
Entropy production
Principle of maximum entropy
other
Statistical mechanics
lcsh:QC1-999
maximum entropy principle
lcsh:Q
Spike (software development)
Train
non-equilibrium steady states
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 10994300
- Volume :
- 21
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Entropy
- Accession number :
- edsair.doi.dedup.....93008f6864377fe344f41cca79a1ab49