Synchronization of neural activity plays an important role for processing of information in the brain. In this work, we study the dynamics of a neural network with plastic synaptic connections under the action of a spatially localized stimulus. It is established that synchronization of all the network neurons by a local action is possible in a certain range of periodic stimulation. The network forms the signals in the form of quasi-synchronous bursts of pulses and synchronization of the bursts with the applied stimuli occurs under an external periodic action. It is shown that the network synchronization takes place in a certain frequency range of external action. An extension of this range is observed with increasing geometric size of the stimulated region. The synchronization range decreases with increasing number of the neuron connections in the network. It is also established that the plastic (adaptive) connections among the elements of the network can improve its sensitivity to external action, i.e., extend the frequency range of stimulation which causes the network synchronization, and decrease the minimum size of the network segment exposed to external action.

神经活动的同步对于大脑中信息的处理起着重要的作用。在这项工作中，我们研究了在空间局部刺激作用下具有可塑性突触连接的神经网络的动力学。可以确定的是，在一定范围的周期性刺激中，通过局部作用使所有网络神经元同步是可能的。网络以准同步脉冲的形式形成信号，并且脉冲与所施加的刺激的同步在外部周期性作用下发生。结果表明，网络同步发生在外部动作的一定频率范围内。随着受激区域的几何尺寸增加，观察到该范围的扩展。同步范围随着网络中神经元连接数量的增加而减小。还可以确定的是，网络元素之间的塑料（自适应）连接可以提高其对外部作用的敏感性，即扩展引起网络同步的刺激的频率范围，并减小暴露于网络的网络段的最小大小。外部动作。