Noise-induced synchronization in a lattice Hodgkin–Huxley neural network

We examine how the synchronization of the series of action potentials (APs) of realistic neurons interconnected in a lattice is influenced by variations of both the direction and magnitude of neuron–neuron connectivity in a noisy environment. We first demonstrate the existence of an optimal noise level that brings about the highest average number of APs per unit time, for a single Hodgkin–Huxley neuron. We then show that synchronization, as a collective response of interconnected neurons forming an N × N lattice, is optimal at different noise strengths σ c = σ c ( p ) , depending on the degree of random-link malfunction parameterized by flipping direction probability p . Thus, even without the scale-free structure of neuronal networks, proper combinations of both randomness in reconnection (flipping) and noisy environment can be beneficial to the collective functioning of neurons.