Self-regularization of chaos in neural systems: experimental and theoretical results

The results of neurobiological studies in both vertebrates and invertebrates lead to the general question: How is a population of neurons, whose individual activity is chaotic and uncorrelated able to form functional circuits with regular and stable behavior? What are the circumstances which support these regular oscillations? What are the mechanisms that promote this transition? We address these questions using our experimental and modeling studies describing the behavior of groups of spiking-bursting neurons. We show that the role of inhibitory synaptic coupling between neurons is crucial in the self-control of chaos.