title: Spiking dynamics of interacting oscillatory neurons.
abstract: Spiking sequences emerging from dynamical interaction in a pair of oscillatory neurons are investigated theoretically and experimentally. The model comprises two unidirectionally coupled FitzHugh-Nagumo units with modified excitability (MFHN). The first (master) unit exhibits a periodic spike sequence with a certain frequency. The second (slave) unit is in its excitable mode and responds on the input signal with a complex (chaotic) spike trains. We analyze the dynamic mechanisms underlying different response behavior depending on interaction strength. Spiking phase maps describing the response dynamics are obtained. Complex phase locking and chaotic sequences are investigated. We show how the response spike trains can be effectively controlled by the interaction parameter and discuss the problem of neuronal information encoding.
authors.affiliation: Institute of Applied Physics, Russian Academy of Sciences, 46 Uljanov Str., 603950 Nizhny Novgorod, Russia.
authors.forename: V B
authors.initials: VB
authors.lastname: Kazantsev
authors.forename: V I
authors.initials: VI
authors.lastname: Nekorkin
authors.forename: S
authors.initials: S
authors.lastname: Binczak
authors.forename: S
authors.initials: S
authors.lastname: Jacquir
authors.forename: J M
authors.initials: JM
authors.lastname: Bilbault
mesh_terms: D000465:Algorithms; D000818:Animals; D001703:Biophysics / Q000379:methods*; D004583:Electrons; D008954:Models, Biological; D008962:Models, Theoretical; D009474:Neurons / Q000378:metabolism / Q000502:physiology*; D017711:Nonlinear Dynamics; D009991:Oscillometry; D009435:Synaptic Transmission