Cultures of cortical neurons grown on multi-electrode arrays exhibit a distinctive behavior: network-wide bursts in which the entire culture fires synchronously for brief periods, separated by quiescent intervals. The bursts originate at a small number of locations and propagate as waves of activity across the network. This coordinated behavior — thousands of neurons spontaneously organizing into a collective rhythm — looks like it should require precise tuning of connection strengths, firing thresholds, or network topology.
Stiber, Gonzales, and Lee (2026) show that it doesn't. In simulated cultures with broad parameter ranges for neuron properties and random network connectivity, spatiotemporal bursting emerges generically. No fine-tuning of neuron or network parameters is needed. The burst-propagation pattern — wave-like spreading from localized initiation sites — appears across wide swaths of parameter space. The behavior is not special. It is typical.
The result shifts the question from “what enables bursting?” to “what would prevent it?” In a developing neural network, the conditions for collective bursting are so easily satisfied that the network would have to be specifically structured to avoid it. Bursting is the default, not the achievement. The interesting biology is not how neurons coordinate into rhythmic activity but how mature circuits eventually break away from this default into the specialized, non-bursting firing patterns of adult cortical function.
The general principle: when a collective behavior emerges without fine-tuning across broad parameter ranges, the behavior is not a product of the system's specific structure — it is a product of the system's general class. Any network with roughly these properties would do the same thing. The explanation lies not in what makes this system special but in what all systems of this type share.