gaussianRoessler

DGL of gaussianRoessler

dxdt[0]=        -omega() * x[1] - x[2]+ couplingSum() - weightSum()*x[0];

dxdt[1]= x[0] + a() * x[1];

dxdt[2]= b() + x[2] *( x[0] - c() );

s[0]= sigmaNoise();

Parameter of gaussianRoessler

  • gaussianRoessler_omega = 0.8900000000000000;
  • gaussianRoessler_a = 0.1650000000000000;
  • gaussianRoessler_b = 0.2000000000000000;
  • gaussianRoessler_c = 10.0000000000000000;
  • gaussianRoessler_sigmaNoise = 0.0000000000000000;

Example (python-conedy)

import conedy as ns

net = ns.network()

net.addNode(ns.gaussianRoessler())

Example (conedy)

network net;

net.addNode(gaussianRoessler());

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