gaussianHindmarshRose

DGL of gaussianHindmarshRose

dxdt[0] = 3.0*x[0]*x[0]-x[0]*x[0]*x[0] + x[1] - x[2] + I() + couplingSum();

dxdt[1] = 1.0-5*x[0]*x[0]-x[1];

dxdt[2] = r() * ( 4* ( x[0]+1.6 )-x[2] );

s[0] = sigmaNoise();

Parameter of gaussianHindmarshRose

  • gaussianHindmarshRose_r = 0.0010000000000000;
  • gaussianHindmarshRose_I = 0.0000000000000000;
  • gaussianHindmarshRose_sigmaNoise = 0.0000000000000000;

Example (python-conedy)

import conedy as ns

net = ns.network()

net.addNode(ns.gaussianHindmarshRose())

Example (conedy)

network net;

net.addNode(gaussianHindmarshRose());

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