Physical interactions enable energy-efficient Turing patterns

Patterns are ubiquitous in nature, but how they form is often unclear. Turing developed a seminal theory to explain patterns based on reactions that counteract the equalizing tendency of diffusion. These reactions require continuous energy input since the system otherwise would proceed to equilibrium, but what systems are energy-efficient is currently unclear. To address this question, we introduce a thermodynamically consistent model of a Turing system. We reveal that repulsive interactions between the stereotypical activator and inhibitor reduce energy requirements significantly. Interestingly, efficient patterns occur for weak activity, albeit at reduced amplitude. Our results suggest that physical interactions might be central in forming natural patterns.

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Publication Details

Journal
Physical Review Research
Published
2025-11-20
DOI
https://doi.org/10.1103/vtnv-2hw6
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
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article

Physical interactions enable energy-efficient Turing patterns

Karl J. Friston
Physical Review Research
Nonlinear Dynamics and Pattern Formation
article

Physical interactions enable energy-efficient Turing patterns

Karl J. Friston
article en

Abstract

Patterns are ubiquitous in nature, but how they form is often unclear. Turing developed a seminal theory to explain patterns based on reactions that counteract the equalizing tendency of diffusion. These reactions require continuous energy input since the system otherwise would proceed to equilibrium, but what systems are energy-efficient is currently unclear. To address this question, we introduce a thermodynamically consistent model of a Turing system. We reveal that repulsive interactions between the stereotypical activator and inhibitor reduce energy requirements significantly. Interestingly, efficient patterns occur for weak activity, albeit at reduced amplitude. Our results suggest that physical interactions might be central in forming natural patterns.

Physical Review ResearchVol. 7(4)
Max Planck Institute for Dynamics and Self-Organization (DE)
Openalex Percentile: Top 55%
Nonlinear Dynamics and Pattern Formation
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Physical interactions enable energy-efficient Turing patterns — Karl J. Friston · Physical Review Research (2025) | TGRS Research Map | TGRS