Dynamical stability refers to the ability of a system to return to a steady state or equilibrium after being perturbed. In the context of neurons, this concept helps understand how neural networks maintain functional integrity despite fluctuations in input and inherent noise, allowing them to process information reliably over time.
congrats on reading the definition of Dynamical Stability. now let's actually learn it.