Periodic orbits: A new language for neuronal dynamics

Paul So, Joseph T. Francis, Theoden I. Netoff, Bruce J. Gluckman, Steven J. Schiff

Research output: Contribution to journalArticlepeer-review

91 Scopus citations

Abstract

A new nonlinear dynamical analysis is applied to complex behavior from neuronal systems. The conceptual foundation of this analysis is the abstraction of observed neuronal activities into a dynamical landscape characterized by a hierarchy of 'unstable periodic orbits' (UPOs). UPOs are rigorously identified in data sets representative of three different levels of organization in mammalian brain. An analysis based on UPOs affords a novel alternative method of decoding, predicting, and controlling these neuronal systems.

Original languageEnglish (US)
Pages (from-to)2776-2785
Number of pages10
JournalBiophysical journal
Volume74
Issue number6
DOIs
StatePublished - Jun 1998

Bibliographical note

Funding Information:
This work was supported by U.S. National Institutes of Mental Health grant 1-R29-MH50006-05 and 1KO2MH01493-01, U.S. Office of Naval Research grant N0014-95-1-0138, and the U.S. Department of Energy through subcontract 85X-SX516V with Oak Ridge National Laboratory.

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