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The existing model classes that describe the dynamics of signaling networks underlying polarization are formulated within the framework of autonomous systems. However these models do not simultaneously capture both, robust maintenance of polarized state longer than the signal duration, and retained responsiveness to signals with complex spatial-temporal distribution. Based on recent experimental evidence for criticality organization of biochemical networks, we challenge the current concepts and demonstrate that non-asymptotic signaling dynamics arising at criticality uniquely ensures optimal responsiveness to changing chemoattractant fields. We provide a framework to characterize non-asymptotic dynamics of system\u2019s state trajectories through a non-autonomous treatment of the system, further emphasizing the importance of (long) transient dynamics, as well as the necessity to change the mathematical formalism when describing biological systems that operate in changing environments.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1011388","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T13:26:00Z","timestamp":1692019560000},"page":"e1011388","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":19,"title":["Non-asymptotic transients away from steady states determine cellular responsiveness to dynamic spatial-temporal 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