Organization at criticality enables processing of time-varying signals by receptor networks

Here the Koseska Group describes how cells use dynamic memory to integrate signals that continuously change. Using dynamical system formalism to describe criticality in non-equilibrium systems they propose generic principles for temporal information processing through phase space trajectories using dynamic transient memory. This dynamic memory, generated via ghost attractors enables signal integration for receptor networks depending on stimulus history, a feature previously attributed only to neural networks.