具有分数维、时滞和同步的复杂系统

When does it not occur in neuronal models？ 6.6.3 Global dynamics and stochastic resonance of the forced FitzHugh-Nagumo neuron model 6.6.4 A novel dynamical mechanism of neural excitability for integer multiple spiking 6.6.5 A Further Insight into Stochastic Resonance in an Integrate-and-fire Neuron with Noisy Periodic Input 6.6.6 Signal-to-noise ratio gain of a noisy neuron that transmits subthreshold periodic spike trains 6.6.7 Mechanism of bifurcation-dependent coherence resonance of Morris-Lecar Model 6.7 Analysis of time series of interspike intervals 6.7.1 Return map 6.7.2 Phase space reconstruction 6.7.3 Extraction of unstable periodic orbits 6.7.4 Nonlinear prediction and surrogate data methods 6.7.5 Nonlinear characteristic numbers 6.8 Application 6.9 Conclusions References

and advances in the theory and application of complex Systems in these areas, Each chapter was written by scientists highly active in the field ofcomplexsystemS. ebook discusses a new treatise on fractional dynamics and control, as well as the new meth0ds f0r differential delay systems and control,Lastly, a theoretical framework for the complexity and synchronization ofcomplex system is presented. The book is intended for researchers in the field of nonlinear dynamics in mathematics, physics and engineering, If can also Serve as a reference book for graduate students in applied mathematics, physics and engineering.