Self-regularization of chaos in neural systems: experimental andtheoretical results
Rabinovich, M.I.; Abarbanel, H.D.I.; Huerta, R.; Elson, R.; Selverston, A.I.
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Volume 44, Issue 10, Oct 1997 Page(s):997 - 1005
Digital Object Identifier 10.1109/81.633889
Summary: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
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