Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch

•A new method for computing conditional Lyapunov exponent is proposed.•The synchronism of Hindmarsh-Rose (HR) neurons is analyzed from different perspectives.•The stability and information flux are evaluated for coupled HR neurons under different scenarios.•The results reveal a particular structure...

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Veröffentlicht in:	Communications in nonlinear science & numerical simulation 2018-03, Vol.56, p.419-433
Hauptverfasser:	Soriano, Diogo C., Santos, Odair V. dos, Suyama, Ricardo, Fazanaro, Filipe I., Attux, Romis
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Conditional Lyapunov exponent Coupled neurons Coupling mismatch Couplings Emitters Entropy Error analysis Excitation Excitation mismatch Hindmarsh-Rose model Information theory Liapunov exponents Mathematical models Neuronal bursting Neuronal synchronization Neurons Nonlinear systems Oscillators Stability analysis Synchronism Transfer entropy
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