Andere Kunden interessierten sich auch für
![Symmetry-Breaking in Ensembles of Coupled Oscillators]( "Symmetry-Breaking in Ensembles of Coupled Oscillators")
Symmetry-Breaking in Ensembles of Coupled Oscillators40,99 €![Optical Parametric Oscillators for Intracavity Phase Interferometry]( "Optical Parametric Oscillators for Intracavity Phase Interferometry")
Optical Parametric Oscillators for Intracavity Phase Interferometry44,99 €![A Bose-Einstein condensate coupled to a micromechanical oscillator]( "A Bose-Einstein condensate coupled to a micromechanical oscillator")
A Bose-Einstein condensate coupled to a micromechanical oscillator51,99 €![Delay-Coupled Complex Systems]( "Delay-Coupled Complex Systems")
Delay-Coupled Complex Systems37,99 €![Coupled-Resonator Slow-Wave Structures for Traveling-Wave Tubes]( "Coupled-Resonator Slow-Wave Structures for Traveling-Wave Tubes")
Coupled-Resonator Slow-Wave Structures for Traveling-Wave Tubes51,99 €![Inductively Coupled Antenna Systems]( "Inductively Coupled Antenna Systems")
Inductively Coupled Antenna Systems58,99 €![Noise, Oscillators and Algebraic Randomness]( "Noise, Oscillators and Algebraic Randomness")
Noise, Oscillators and Algebraic Randomness74,99 €
The integrate-and-fire and piecewise-linear (PL) (or
FitzHugh-Nagumo) neuron models, which have been
used in the study of synchronization phenomena, were
often regarded to be quite different types.
Periodically and spontaneously firings of such
analytical tractable models are dynamically different
from or similar to the physiological relevant
neuron models. A qualitatively new relationship
between the different types of the neuron models is
proposed to introduce a coupling-dependence in the PL
models according to whether the coupling term is
added to the $x$- or $y$-dynamics. Next, with a
return map analysis and a phase reduction method,
synchronization behavior of two neurons with
excitatory or inhibitory synaptic coupling, including
some irregularly synchronous behavior that has never
been reported thus far, can be systematically
explored in terms of three parameters in the model
(synaptic strength, decaying relaxation rate of the
synaptic coupling and exponentially-decaying
relaxation rate during the firing). We then show that
the duration time of an impulse plays an important
role in synchronization phenomena.
FitzHugh-Nagumo) neuron models, which have been
used in the study of synchronization phenomena, were
often regarded to be quite different types.
Periodically and spontaneously firings of such
analytical tractable models are dynamically different
from or similar to the physiological relevant
neuron models. A qualitatively new relationship
between the different types of the neuron models is
proposed to introduce a coupling-dependence in the PL
models according to whether the coupling term is
added to the $x$- or $y$-dynamics. Next, with a
return map analysis and a phase reduction method,
synchronization behavior of two neurons with
excitatory or inhibitory synaptic coupling, including
some irregularly synchronous behavior that has never
been reported thus far, can be systematically
explored in terms of three parameters in the model
(synaptic strength, decaying relaxation rate of the
synaptic coupling and exponentially-decaying
relaxation rate during the firing). We then show that
the duration time of an impulse plays an important
role in synchronization phenomena.