SELF-REGULARIZATION OF CHAOS IN NEURAL SYSTEMS - EXPERIMENTAL AND THEORETICAL RESULTS

The results of neurobiological studies in both vertebrates and inverte brates lead to the general question: How is a population of neurons, w hose individual activity is chaotic and uncorrelated able to form func tional circuits with regular and stable behavior? What are the circums tances which support these regular oscillations? What are the mechanis ms 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 synapti c coupling between neurons is crucial in the self-control of chaos.