Guo Daqing, Wang Qingyun, Perc Matjaž
Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6 Pt 1):061905. doi: 10.1103/PhysRevE.85.061905. Epub 2012 Jun 7.
Networks of fast-spiking interneurons are crucial for the generation of neural oscillations in the brain. Here we study the synchronous behavior of interneuronal networks that are coupled by delayed inhibitory and fast electrical synapses. We find that both coupling modes play a crucial role by the synchronization of the network. In addition, delayed inhibitory synapses affect the emerging oscillatory patterns. By increasing the inhibitory synaptic delay, we observe a transition from regular to mixed oscillatory patterns at a critical value. We also examine how the unreliability of inhibitory synapses influences the emergence of synchronization and the oscillatory patterns. We find that low levels of reliability tend to destroy synchronization and, moreover, that interneuronal networks with long inhibitory synaptic delays require a minimal level of reliability for the mixed oscillatory pattern to be maintained.
快速发放中间神经元网络对于大脑中神经振荡的产生至关重要。在此，我们研究由延迟抑制性和快速电突触耦合的中间神经元网络的同步行为。我们发现这两种耦合模式在网络同步中都起着关键作用。此外，延迟抑制性突触会影响出现的振荡模式。通过增加抑制性突触延迟，我们在一个临界值处观察到从规则振荡模式到混合振荡模式的转变。我们还研究了抑制性突触的不可靠性如何影响同步的出现和振荡模式。我们发现低水平的可靠性往往会破坏同步，而且，具有长抑制性突触延迟的中间神经元网络需要最低水平的可靠性来维持混合振荡模式。
