Masino Mark A, Calabrese Ronald L
Biology Department, Emory University, Atlanta, Georgia 30322, USA.
J Neurosci. 2002 Jun 1;22(11):4418-27. doi: 10.1523/JNEUROSCI.22-11-04418.2002.
We tested predictions of a computational model (Hill et al., 2002) of the leech heartbeat timing network. The timing network consists of two segmental oscillators located in the third (G3) and fourth (G4) segmental ganglia. Each oscillator consists of two reciprocally inhibitory oscillator interneurons along with the coordinating interneuron fibers that link them. In the model, the network was driven to cycle periods around the normal period of the network by repeatedly stimulating one of the paired oscillator interneurons in G3 or G4. Here we replicate these experiments in the biological system. The model predicts that the G3 and G4 oscillators can entrain the timing network to periods faster but not slower than the inherent period of the nondriven ("follower") oscillator and that they can do so symmetrically. The biological system can be driven to periods both faster (such that the driven oscillator leads in phase) and slower (such that the driven oscillator lags in phase) than the inherent period of the timing network. Although both oscillators can entrain the network, the G4 oscillator does so over a narrower range of periods. Two differences between the assumptions of the model and the properties of the biological network, spike frequency adaptation in coordinating interneurons and asymmetry in the connections from the oscillator interneurons to the coordinating interneurons, may account for these discrepancies. Individual coordinating interneurons were also able to entrain the oscillators but with little effect of the phase relationship between the oscillators, suggesting that phase relations are determined by properties inherent to the oscillator interneurons.
我们测试了水蛭心跳定时网络的一个计算模型(希尔等人,2002年)的预测。定时网络由位于第三(G3)和第四(G4)节段神经节的两个节段振荡器组成。每个振荡器由两个相互抑制的振荡器中间神经元以及连接它们的协调中间神经元纤维组成。在该模型中,通过反复刺激G3或G4中一对振荡器中间神经元中的一个,网络被驱动至围绕网络正常周期的周期。在此,我们在生物系统中重复这些实验。该模型预测,G3和G4振荡器能够使定时网络的周期加快,但不会慢于非驱动(“跟随者”)振荡器的固有周期,并且它们能够对称地做到这一点。生物系统能够被驱动至比定时网络固有周期更快(使得被驱动振荡器在相位上领先)和更慢(使得被驱动振荡器在相位上滞后)的周期。尽管两个振荡器都能使网络同步,但G4振荡器在更窄的周期范围内做到这一点。模型假设与生物网络特性之间的两个差异,即协调中间神经元中的动作电位频率适应性以及从振荡器中间神经元到协调中间神经元的连接中的不对称性,可能解释了这些差异。单个协调中间神经元也能够使振荡器同步,但对振荡器之间的相位关系影响很小,这表明相位关系由振荡器中间神经元固有的特性决定。