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HIRSCH,CARL SIKLOSSY,ELINOR BAKER,KANE ROEDER,CONSTANCE COHEN,HAROLD
HIRSCH,CARL SIKLOSSY,ELINOR BAKER,KANE ROEDER,CONSTANCE COHEN,HAROLD
ER HOLDER,DOUG A MYERS,JAMES DELANEY,KATHY RAMSING,BYRON L COOK,CYNTHIA
systems. These often also include algorithmic modules that are useful in tailoring new models and measures (see for examples, Parker and Chua, 1989; Baker and Gollub, 1991; Nusse and Yorke, 1991; Sprott and Rowlands, 1991; Sprott, 1993; Korsch and Jodl, 1994; Enns and McGuire, 1997). Learning from and u
ike tents, sine functions and parabolas can be extracted from and represent the behavior of higher dimensional, nonlinear differential equations (see Devaney, 1989; Schuster, 1989 or Moon, 1992 for intuitive descriptions). They varied a parameter, such as the height of the tent or parabola, to systematical
HOUSE_OVERSIGHT_013752 Babloyantz, A., Destexhe, A. (1986) Low dimensional chaos in an instance of epilepsy. Proc. Natl. Acad. Sci. 83:3513-3517. Baker, G.L., Gollub, J.P. (1991) Chaotic Dynamics; An Introduction. Cambridge University Press. Cambridge Bassingthwaighte, J., Liebovitch, L., West, B.
orbits recursively as the dynamics proceed; and (3) Indecomposability—the attractor is not separable into isolated regions and no points escape (see Devaney, 1989, for one of the clearest definitions). Of particular relevance to information encoding and transport by brain mechanisms, it is important to vi
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