Department of Biomedical Engineering, Bulent Ecevit University, Zonguldak, Turkey.
Department of Electromagnetism and Physics of the Matter and Institute Carlos I for Theoretical and Computational Physics, University of Granada, Granada, E-18071, Spain.
Neural Netw. 2019 Feb;110:131-140. doi: 10.1016/j.neunet.2018.11.007. Epub 2018 Nov 27.
We observe and study a self-organized phenomenon whereby the activity in a network of spiking neurons spontaneously terminates. We consider different types of populations, consisting of bistable model neurons connected electrically by gap junctions, or by either excitatory or inhibitory synapses, in a scale-free connection topology. We find that strongly synchronized population spiking events lead to complete cessation of activity in excitatory networks, but not in gap junction or inhibitory networks. We identify the underlying mechanism responsible for this phenomenon by examining the particular shape of the excitatory postsynaptic currents that arise in the neurons. We also examine the effects of the synaptic time constant, coupling strength, and channel noise on the occurrence of the phenomenon.
我们观察和研究了一种自组织现象，即在尖峰神经元网络中，活动会自发终止。我们考虑了不同类型的群体，这些群体由双稳态模型神经元组成，通过缝隙连接或兴奋性或抑制性突触以无标度连接拓扑结构连接。我们发现，强烈同步的群体尖峰事件会导致兴奋性网络中的活动完全停止，但在缝隙连接或抑制性网络中则不会。我们通过检查神经元中产生的兴奋性突触后电流的特殊形状，确定了导致这种现象的潜在机制。我们还研究了突触时间常数、耦合强度和通道噪声对现象发生的影响。
