Qin Huixin, Ma Jun, Wang Chunni, Wu Ying
Department of Physics, Lanzhou University of Technology, Lanzhou, China.
School of Aerospace, Xian Jiaotong University, Xian, China.
PLoS One. 2014 Jun 26;9(6):e100849. doi: 10.1371/journal.pone.0100849. eCollection 2014.
Autapse plays an important role in regulating the electric activity of neuron by feedbacking time-delayed current on the membrane of neuron. Autapses are considered in a local area of regular network of neurons to investigate the development of spatiotemporal pattern, and emergence of spiral wave is observed while it fails to grow up and occupy the network completely. It is found that spiral wave can be induced to occupy more area in the network under optimized noise on the network with periodical or no-flux boundary condition being used. The developed spiral wave with self-sustained property can regulate the collective behaviors of neurons as a pacemaker. To detect the collective behaviors, a statistical factor of synchronization is calculated to investigate the emergence of ordered state in the network. The network keeps ordered state when self-sustained spiral wave is formed under noise and autapse in local area of network, and it independent of the selection of periodical or no-flux boundary condition. The developed stable spiral wave could be helpful for memory due to the distinct self-sustained property.
自突触通过向神经元膜反馈延时电流,在调节神经元电活动方面发挥着重要作用。在规则的神经元网络局部区域中考虑自突触,以研究时空模式的发展,观察到螺旋波出现,但它未能完全发展并占据整个网络。研究发现,在使用周期性或无通量边界条件的网络上,优化噪声时,螺旋波可被诱导在网络中占据更大区域。具有自持特性的发展起来的螺旋波可以作为起搏器调节神经元的集体行为。为了检测集体行为,计算了一个同步统计因子来研究网络中有序状态的出现。当在网络局部区域的噪声和自突触作用下形成自持螺旋波时,网络保持有序状态,且这与周期性或无通量边界条件的选择无关。由于其独特的自持特性,发展起来的稳定螺旋波可能有助于记忆。