This paper deals with the analysis of a nonlinear dynamical system which models the axons interaction. A system with a source made by a sequence of high pulses (spike train) is analyzed. It is shown that on short range interval close to the initial time there is a chaotic behavior in the phase space, even if the solution asymptotically tends to a constant value. © 2009 Springer Berlin Heidelberg.
"Modelling Hodgkin-Huxley neurons interaction" / Mattioli, Gianni Francesco; Scalia, Massimo. - 5592/2009:PART 1(2009), pp. 745-751. (Intervento presentato al convegno The 2009 International Conference on Computational Science and Its Applications - ICCSA 2009 tenutosi a Seoul; Korea, Republic of nel 29 GIUGNO – 2 LUGLIO 2009) [10.1007/978-3-642-02454-2_57].
"Modelling Hodgkin-Huxley neurons interaction"
MATTIOLI, Gianni Francesco;SCALIA, Massimo
2009
Abstract
This paper deals with the analysis of a nonlinear dynamical system which models the axons interaction. A system with a source made by a sequence of high pulses (spike train) is analyzed. It is shown that on short range interval close to the initial time there is a chaotic behavior in the phase space, even if the solution asymptotically tends to a constant value. © 2009 Springer Berlin Heidelberg.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
