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

Author

Rabinovich, Mikhail I. ; Abarbanel, Henry D I ; Huerta, Ramon ; Elson, Rob ; Selverston, Al I.

Author_Institution

Inst. for Nonlinear Sci., California Univ., San Diego, La Jolla, CA, USA

Volume

44

Issue

10

fYear

1997

fDate

10/1/1997 12:00:00 AM

Firstpage

997

Lastpage

1005

Abstract

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

Keywords

biocontrol; brain models; chaos; neural nets; physiological models; chaos; functional circuits; inhibitory synaptic coupling; invertebrates; modeling; neural systems; neurobiological studies; regular oscillations; self-regularization; spiking-bursting neurons; stable behavior; vertebrates; Assembly systems; Biological systems; Chaos; Chemical analysis; Chemical elements; Coupling circuits; Neurons; Orbits; Pattern analysis; Rhythm;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.633889

Filename

633889