首页> 外文期刊>Journal of Computational Neuroscience >Longitudinal neuronal organization and coordination in a simple vertebrate: a continuous, semi-quantitative computer model of the central pattern generator for swimming in young frog tadpoles
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Longitudinal neuronal organization and coordination in a simple vertebrate: a continuous, semi-quantitative computer model of the central pattern generator for swimming in young frog tadpoles

机译:在简单的脊椎动物中的纵向神经元组织和协调:用于幼蛙generator游泳的中央模式发生器的连续,半定量计算机模型

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When frog tadpoles hatch their swimming requires co-ordinated contractions of trunk muscles, driven by motoneurons and controlled by a Central Pattern Generator (CPG). To study this co-ordination we used a 3.5 mm long population model of the young tadpole CPG with continuous distributions of neurons and axon lengths as estimated anatomically. We found that: (1) alternating swimming-type activity fails to self-sustain unless some excitatory interneurons have ascending axons, (2) a rostro-caudal (R-C) gradient in the distribution of excitatory premotor interneurons with short axons is required to obtain the R-C gradient in excitation and resulting progression of motoneuron firing necessary for forward swimming, (3) R-C delays in motoneuron firing decrease if excitatory motoneuron to premotor interncuron synapses are present, (4) these feedback connections and the electrical synapses between motoneurons synchronise motoneuron discharges locally, (5) the above findings are independent of the detailed membrane properties of neurons.
机译:当青蛙t孵化时,游泳需要躯干肌肉的协调收缩,该收缩由运动神经元驱动并由中央模式发生器(CPG)控制。为了研究这种协调,我们使用了一个3.5毫米长的年轻C CPG种群模型,该模型具有解剖学估计的神经元和轴突长度的连续分布。我们发现:(1)除非某些兴奋性中间神经元具有上升的轴突,否则交替的游泳型活动无法自我维持;(2)需要短轴突的兴奋性运动前神经元的分布具有尾状(RC)梯度。前向游泳所需的兴奋性RC梯度以及由此产生的运动神经元进行中的进展,(3)如果存在兴奋性运动神经元与前运动中子突触之间的联系,则运动神经元点火中的RC延迟会减少,(4)这些反馈连接以及运动神经元之间的电突触使运动神经元放电同步(5)以上发现与神经元的详细膜特性无关。

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