Evidence map›Paper›PMID 36154397›Full record

ArticlePhysical review letters2022

Decomposing the Local Arrow of Time in Interacting Systems.

Christopher W Lynn, Caroline M Holmes, William Bialek, David J Schwab

Abstract read
In one paragraph

Article in Physical review letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Koopman mode decomposition of thermodynamic dissipation in nonlinear Langevin dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Broken time-reversal symmetry in visual motion detection.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Is stochastic thermodynamics the key to understanding the energy costs of computation?Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Broken time reversal symmetry in visual motion detection.bioRxiv : the preprint server for biology · 2024
    Article
  11. Small and Simple Systems That Favor the Arrow of Time.Entropy (Basel, Switzerland) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christopher W LynnInitiative for the Theoretical Sciences, The Graduate Center, City University of New York, New York, New York 10016, USA.
Caroline M HolmesJoseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA.
William BialekInitiative for the Theoretical Sciences, The Graduate Center, City University of New York, New York, New York 10016, USA.
David J SchwabInitiative for the Theoretical Sciences, The Graduate Center, City University of New York, New York, New York 10016, USA.

Funding

Coarse-graining approaches to networks, learning, and behaviorR01EB026943 · NIBIB · UNIVERSITY OF CHICAGO · PI BIALEK, WILLIAM, PALMER, STEPHANIE E · 2018 to 2020
$1.1M
NIBIB NIH HHS R01 EB026943
6 · The paper itself

Abstract

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.

Indexed as

NeuronsEntropy

Identifiers

PMID36154397
PMCPMC9751844

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.