Your browser doesn't support javascript.
loading
Emergence of local irreversibility in complex interacting systems.
Lynn, Christopher W; Holmes, Caroline M; Bialek, William; Schwab, David J.
Afiliação
  • Lynn CW; Initiative for the Theoretical Sciences, Graduate Center, City University of New York, New York, New York 10016, USA.
  • Holmes CM; Joseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA.
  • Bialek W; Joseph Henry Laboratories of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA.
  • Schwab DJ; Initiative for the Theoretical Sciences, Graduate Center, City University of New York, New York, New York 10016, USA.
Phys Rev E ; 106(3-1): 034102, 2022 Sep.
Article em En | MEDLINE | ID: mdl-36266789
ABSTRACT
Living systems are fundamentally irreversible, breaking detailed balance and establishing an arrow of time. But how does the evident arrow of time for a whole system arise from the interactions among its multiple elements? We show that the local evidence for the arrow of time, which is the entropy production for thermodynamic systems, can be decomposed. First, it can be split into two components an independent term reflecting the dynamics of individual elements and an interaction term driven by the dependencies among elements. Adapting tools from nonequilibrium physics, we further decompose the interaction term into contributions from pairs of elements, triplets, and higher-order terms. We illustrate our methods on models of cellular sensing and logical computations, as well as on patterns of neural activity in the retina as it responds to visual inputs. We find that neural activity can define the arrow of time even when the visual inputs do not, and that the dominant contribution to this breaking of detailed balance comes from interactions among pairs of neurons.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article