Collective is Different: Information Exchange and Speed-Accuracy Trade-Offs in Self-Organized Patterning

During development, highly ordered structures emerge as cells collectively coordinate with each other. While recent advances have clarified how individual cells process and respond to external signals, understanding collective cellular decision making remains a major challenge. Here, we introduce a minimal, analytically tractable model of cell patterning via local cell-cell communication. Using this framework, we identify a trade-off between the speed and accuracy of collective pattern formation and, by adapting techniques from stochastic chemical kinetics, quantify how information flows between cells during patterning. Our analysis reveals counterintuitive features of collective patterning: globally optimized solutions do not necessarily maximize intercellular information transfer and individual cells may appear suboptimal in isolation. Moreover, the model predicts that instantaneous information shared between cells can be nonmonotonic in time as patterning occurs. An analysis of recent experimental data from lateral inhibition in pupal abdomen finds a qualitatively similar effect.

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Publication Details

Journal
PRX Life
Published
2026-01-05
DOI
https://doi.org/10.1103/lfnt-8qbt
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Collective is Different: Information Exchange and Speed-Accuracy Trade-Offs in Self-Organized Patterning

Dominic J. Skinner, Ashutosh Tripathi, Jörn Dunkel
PRX Life
Modular Robots and Swarm Intelligence
article

Collective is Different: Information Exchange and Speed-Accuracy Trade-Offs in Self-Organized Patterning

Dominic J. Skinner, Ashutosh Tripathi, Jörn Dunkel
article en

Abstract

During development, highly ordered structures emerge as cells collectively coordinate with each other. While recent advances have clarified how individual cells process and respond to external signals, understanding collective cellular decision making remains a major challenge. Here, we introduce a minimal, analytically tractable model of cell patterning via local cell-cell communication. Using this framework, we identify a trade-off between the speed and accuracy of collective pattern formation and, by adapting techniques from stochastic chemical kinetics, quantify how information flows between cells during patterning. Our analysis reveals counterintuitive features of collective patterning: globally optimized solutions do not necessarily maximize intercellular information transfer and individual cells may appear suboptimal in isolation. Moreover, the model predicts that instantaneous information shared between cells can be nonmonotonic in time as patterning occurs. An analysis of recent experimental data from lateral inhibition in pupal abdomen finds a qualitatively similar effect.

PRX LifeVol. 4(1)
Flatiron Health (United States) (US), Flatiron Institute (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 100%
Modular Robots and Swarm Intelligence
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Collective is Different: Information Exchange and Speed-Accuracy Trade-Offs in Self-Organized Patterning — Dominic J. Skinner, Ashutosh Tripathi, et al. · PRX Life (2026) | TGRS Research Map | TGRS