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首页> 外文期刊>Neurophysiology >Features of Active Electrical States of Asymmetrical Dendrites of Brainstem Motoneurons during Generation of Stochastic Implulse Patterns: a Simulation Study
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Features of Active Electrical States of Asymmetrical Dendrites of Brainstem Motoneurons during Generation of Stochastic Implulse Patterns: a Simulation Study

机译：随机脉冲模式生成过程中脑干动子的不对称枝晶的有源电态特征：模拟研究

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On models of motoneurons of the n. abducens nucleus with reconstructed dendritic arborizations havingan active membrane, we investigated features of the relationships between passive transfer propertiesand dynamics of excitation states of asymmetrical dendrites during generation of complex periodical andstochastic impulse patterns (output neuronal codes). Various patterns were obtained by varying the intensityof tonic synaptic excitation homogeneously distributed over the dendrites. The electrical states of sitesbelonging to branches of the same dendrite or different dendrites were compared. For this comparison,branches were selected, which, according to the earlier performed cluster analysis, were assigned to thegroups (electrotonic clusters) with a high and a low effectiveness of passive transfer of the somatopetalcurrent. The selection took into account features of the dendritic structure of neurons of the exemined type.These were: (i) the presence of groups of the asymmetrical branches differing from each other according totheir belonging to different clusters (high or low transfer effectiveness) in different dendrites, and (ii) thepresence of branches belonging to different dendrites characterized by significantly different orientations inthree-dimensional space of the brainstem within each electrical cluster. Comparative analysis showed that, ina given dendrite during generation of a complex periodical pattern, the asymmetrical branches belonging tohigh- or low-efficiency clusters were characterized by being in different states (high or low depolarization)in different phases of generation of repeated sequences of action potentials (APs). This relationship wasconsistent with those previously detected in neurons of other types and in other specimens of neurons ofthe above-mentioned type. During generation of such periodical spike patterns, the branches of differentdendrites belonging to the same electrotonic cluster were in similar states. Similar relationships betweenthe states of the branches of the same dendrite belonging to different clusters were also observed duringgeneration of complex stochastic (non-periodical) impulse patterns. In the latter case, however, the essentialfeature was that the branches of different dendrites belonging to the same electrotonic cluster were oftenin opposite states. Thus, the number of combinations of discrete electrical states of asymmetrical parts ofthe dendritic arborization was much greater. Probably, it is precisely this circumstance that determined thequasi-stochastic nature of the output impulse pattern.
机译：关于n的运动神经元模型。用具有活性膜的树突状乔木重建外展核，我们研究了复杂的周期性和随机脉冲模式（输出神经元代码）生成过程中非对称树突的被动传递特性与激发态动力学之间的关系。通过改变均匀分布在树突上的补品突触激发的强度，可以获得各种模式。比较了属于相同枝晶或不同枝晶的分支的位点的电态。为了进行此比较，选择了分支，根据较早进行的聚类分析，将其分配给体瓣电流被动转移的有效性高和低的组（电声性簇）。选择时考虑了突出型神经元的树突结构特征。这些特征是：（i）不对称分支的存在根据它们属于不同簇的不同而不同（转移效率高或低） （ii）属于不同树突的分支的存在，其特征在于每个电簇中脑干三维空间的方向明显不同。比较分析表明，在给定的枝晶中，在产生复杂的周期性模式时，属于高效率或低效率簇的不对称分支的特征在于，在重复作用序列的产生的不同阶段处于不同状态（高或低去极化）电位（AP）。这种关系与先前在其他类型的神经元和上述类型的神经元的其他标本中检测到的那些关系一致。在这种周期性尖峰图样的生成过程中，属于同一电声簇的不同枝晶的分支处于相似状态。在复杂的随机（非周期性）脉冲模式的生成过程中，还观察到了属于不同簇的同一枝晶的分支状态之间的相似关系。但是，在后一种情况下，基本特征是属于同一电声簇的不同树突的分支通常处于相反的状态。因此，树枝状树状化的不对称部分的离散电态的组合数目要大得多。可能正是这种情况决定了输出脉冲模式的准随机性。

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