Exact(27)
This structural property is very convenient for the phase models and processing used in this work.
In this paper, we study the optimal control of phase models for spiking neuron oscillators.
The latter is of fundamental importance because phase models are valid under weak forcing.
In both the neural and the derived phase models, we chose parameter sets based on previous work [15, 29].
Fig. 8 Entrainment ranges for the neural and derived phase models as a function of the forcing strength.
In each phase models and algorithms to their optimization were proposed, specifically the phases one and two are detailed.
Similar(32)
The modified model was compared with well-mixed and two-phase models in order to investigate the dynamic modeling response.
The results obtained modified those for two-phase models.
The experimental data was fitted to the saturation exponent and homogenous single-phase models.
It also reveals some details of flow behavior which cannot be captured by single-phase models.
Both single-phase and two-phase models are utilized in various examples.
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