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find Keyword "Neural regulation" 2 results
  • RESEARCH PROGRESS OF NEURAL REGULATION MECHANISM OF VASCULOGENESIS

    ObjectiveTo review the research progress of neural regulation mechanism of vasculogenesis. MethodsThe relevant literature on neural regulation mechanism of vasculogenesis was extensively reviewed. ResultsNeural regulation of vasculogenesis depends on synergistic effect among various cells of neurovascular unit, and co-participation of multiple cytokines, and it is closely related to a variety of repair mechanism, such as nerve regeneration and synaptic plasticity, but the specific mechanism need to be further investigated. ConclusionThe research of the neural regulation mechanism of vasculogenesis will contribute to further understanding repair mechanism of nerves and vessels injuries.

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  • The inverse stochastic resonance in a small-world neuronal network under electromagnetic stimulation

    Electromagnetic stimulation is an important neuromodulation technique that modulates the electrical activity of neurons and affects cortical excitability for the purpose of modulating the nervous system. The phenomenon of inverse stochastic resonance is a response mechanism of the biological nervous system to external signals and plays an important role in the signal processing of the nervous system. In this paper, a small-world neural network with electrical synaptic connections was constructed, and the inverse stochastic resonance of the small-world neural network under electromagnetic stimulation was investigated by analyzing the dynamics of the neural network. The results showed that: the Levy channel noise under electromagnetic stimulation could cause the occurrence of inverse stochastic resonance in small-world neural networks; the characteristic index and location parameter of the noise had significant effects on the intensity and duration of the inverse stochastic resonance in neural networks; the larger the probability of randomly adding edges and the number of nearest neighbor nodes in small-world networks, the more favorable the anti-stochastic resonance was; by adjusting the electromagnetic stimulation parameters, a dual regulation of the inverse stochastic resonance of the neural network can be achieved. The results of this study provide some theoretical support for exploring the regulation mechanism of electromagnetic nerve stimulation technology and the signal processing mechanism of nervous system.

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