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E"],"accepted":{"date-parts":[[2026,7,10]]},"abstract":"<jats:p>Stochastic fluctuations often act as promoters of activity in excitable and oscillatory systems, giving rise to phenomena such as coherence resonance. Here, we show that in the low-intensity regime, noise plays a dual role in weakly coupled neuronal units: It can both inhibit collective spiking and, with increasing intensity, restore coordinated activity. For a ring of diffusively coupled, oscillatory FitzHugh-Nagumo neurons, we demonstrate how the interplay of noise and coupling strength organizes a rich set of collective dynamical states. We systematically classify emergent dynamical scenarios by an in-depth time-series analysis that integrates multiple complementary measures. We are able to automatically identify five distinct dynamical clusters in parameter space: pure noise, quiescent state, noisy synchronization, complete synchronization, and intermittent switching. 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