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Biophys J, June 1998, p. 2776-2785, Vol. 74, No. 6
Center for Neuroscience, Children's Research Institute, Children's National Medical Center, and the George Washington University School of Medicine, Washington, DC 20010 USA
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.
Biophys J, June 1998, p. 2776-2785, Vol. 74, No. 6
© 1998 by the Biophysical Society 0006-3495/98/06/2776/10 $2.00
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