节点文献
神经网络受损对神经元放电模式及同步行为影响的研究
Research on the Influence of Neural Network Damage on the Firing Activity and Synchronous Behavior of Neurons
【摘要】 以Hindmarsh-Rose(HR)神经元模型为节点构建一个环状耦合的神经网络,考察网络受损后对其放电模式及同步行为的影响。研究发现,当神经网络正常时,神经元具有较好的接收和输出信息的性能,合适的耦合强度可以调节体系的放电模式和同步行为。而当网络中出现一定程度的损伤时(包括部分神经元或突触连接受损),均会导致神经元的接收或输出信息的性能减弱,从而引起体系中神经元放电模式和放电频率发生改变,体系的同步程度降低。上述研究结果表明神经网络受损将影响神经元的放电活动,并导致网络的异常同步行为,从而为揭示神经性疾病的形成机理提供一定的理论解释。
【Abstract】 In this paper, a ring-coupled neural network is constructed with the Hindmarsh-Rose(HR) neuron model as the node, and the influence of the damage of the network on its discharge pattern and synchronization behavior is investigated.The study found that when the neural network is normal, the neuron has better performance of receiving and outputting information, and the appropriate coupling strength can adjust the discharge mode and synchronization behavior of the system.When a certain degree of damage occurs in the network(including damage to some neurons or synaptic connections),it will cause the performance of neurons to receive or output information to weaken, which will cause changes in the firing pattern and firing frequency of neurons in the system.The degree of synchronization of the system is reduced.The above research results show that damage to the neural network will affect the firing activity of neurons and lead to abnormal synchronization behavior of the network, thus providing a certain theoretical explanation for revealing the formation mechanism of neurological diseases.
【Key words】 HR neurons; synaptic connection; firing pattern; synchronization;
- 【文献出处】 安徽师范大学学报(自然科学版) ,Journal of Anhui Normal University(Natural Science) , 编辑部邮箱 ,2021年03期
- 【分类号】Q424
- 【下载频次】87