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Synthesizing attractors of Hindmarsh–Rose neuronal systems
2010
Nonlinear dynamics
In this paper a periodic parameter switching scheme is applied to the Hindmarsh-Rose neuronal system to synthesize certain attractors. Results show numerically, via computer graphic simulations, that the obtained synthesized attractor belongs to the class of all admissible attractors for the Hindmarsh-Rose neuronal system and matches the averaged attractor obtained with the control parameter replaced with the averaged switched parameter values. This feature allows us to imagine that living
doi:10.1007/s11071-010-9730-6
fatcat:fkentzc4kve6dhiepcfmpw6qf4