摘要
本文研究由FitzHugh Nagumo神经元所组成的脉动神经元网络的同步与联想记忆恢复。基于神经元微观生理结构,本文给出具有空间随机分布延时的神经元间耦合,而这种随机分布延时描述了脉动信号从突触前神经元到突触后神经元在轴突上传播所需要的时间。记忆由空时发放的神经元集群表达,在噪声涨落的作用下,系统取得了对不完整输入的记忆恢复。
Synchronization and associative memory retrieval in a pulsed neural network composed of the FitzHugh-Nagumo neurons were investigated. Based on the reality of the microscopic biological structure in the neural system, the couplings among those neurons were accompanied with randomly distributed time delays which models the times for a pulse to propagate on the axon from the presynaptic neuron to the postsynaptic neuron. The memory was represented in the spatiotemporal firing pattern of the neurons, and the memory retrieval was accomplished by using the fluctuations in the system.
出处
《力学季刊》
CSCD
北大核心
2005年第1期66-71,共6页
Chinese Quarterly of Mechanics
基金
国家自然科学基金(10272074)