Decomposing the Local Arrow of Time in Interacting Systems
We show that the evidence for a local arrow of time, which is equivalent to the entropy production in thermodynamic systems, can be decomposed. In a system with many degrees of freedom, there is a term that arises from the irreversible dynamics of the individual variables, and then a series of non-n...
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Veröffentlicht in: | Physical review letters 2022-09, Vol.129 (11), p.118101-118101, Article 118101 |
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creator | Lynn, Christopher W Holmes, Caroline M Bialek, William Schwab, David J |
description | We show that the evidence for a local arrow of time, which is equivalent to the entropy production in thermodynamic systems, can be decomposed. In a system with many degrees of freedom, there is a term that arises from the irreversible dynamics of the individual variables, and then a series of non-negative terms contributed by correlations among pairs, triplets, and higher-order combinations of variables. We illustrate this decomposition on simple models of noisy logical computations, and then apply it to the analysis of patterns of neural activity in the retina as it responds to complex dynamic visual scenes. We find that neural activity breaks detailed balance even when the visual inputs do not, and that this irreversibility arises primarily from interactions between pairs of neurons. |
doi_str_mv | 10.1103/PhysRevLett.129.118101 |
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source | MEDLINE; APS_美国物理学会期刊; EZB-FREE-00999 freely available EZB journals |
subjects | Entropy Neurons - physiology |
title | Decomposing the Local Arrow of Time in Interacting Systems |
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