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

All Science Journal Classification (ASJC) codes

  • Biophysics

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