چكيده به لاتين
Neural networks formed from large number neurons. Neural oscillators are of the most important part of these networks. Therefore, stability analysis and analyzing of neuronal oscillation plays a crucial role in studying dynamics and human neural system behaviors. In order to this, the way oscillations start or stop, is critical in health or disorders in brain and neural diseases. Nowadays researchers found applications of light and laser in treatment of such diseases. In this research, we studied effects of light on neural oscillations. To do so, we used original Hodgkin and Huxley model for analyzing and proposed a developed version of it. Afterward, to simulate light effects on neuronal behaviors, equations of conductances and ionic gates were modified. One of the most important differences between this research and previous studies is membrane capacitance which is dependence to intensity of light. Using proposed model, effects of light on neuronal oscillations behavior, especially the way that oscillations stop, were studied and analyzed. Results showed that oscillations stop behavior is at result of two types bifurcation; Supercritical Hopf and Limit point of cycles bifurcations, which are compatible with experimental observations in neurodynamics. Plus, using proposed model, effects of light on excitability and action potential diffusion on neuron string were also studied. Another result of this study, is proposing new relation between optical stimulation and its thermal effect on neurons.