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Synaptic patterning of left-right alternation in a computational model of the rodent hindlimb central pattern generator

机译:啮齿动物后肢中央模式发生器的计算模型中左右交替的突触模式

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Establishing, maintaining, and modifying the phase relationships between extensor and flexor muscle groups is essential for central pattern generators in the spinal cord to coordinate the hindlimbs well enough to produce the basic walking rhythm. This paper investigates a simplified computational model for the spinal hindlimb central pattern generator (CPG) that is abstracted from experimental data from the rodent spinal cord. This model produces locomotor-like activity with appropriate phase relationships in which right and left muscle groups alternate while extensor and flexor muscle groups alternate. Convergence to this locomotor pattern is slow, however, and the range of parameter values for which the model produces appropriate output is relatively narrow. We examine these aspects of the model's coordination of left-right activity through investigation of successively more complicated subnetworks, focusing on the role of the synaptic architecture in shaping motoneuron phasing. We find unexpected sensitivity in the phase response properties of individual neurons in response to stimulation and a need for high levels of both inhibition and excitation to achieve the walking rhythm. In the absence of cross-cord excitation, equal levels of ipsilateral and contralat-eral inhibition result in a strong preference for hopping over walking. Inhibition alone can produce the walking rhythm, but contralateral inhibition must be much stronger than ipsilateral inhibition. Cross-cord excitatory connections significantly enhance convergence to the walking rhythm, which is achieved most rapidly with strong crossed excitation and greater contralateral than ipsilateral inhibition. We discuss the implications of these results for CPG architectures based on unit burst generators.
机译:建立,维持和改变伸肌群与屈肌群之间的相位关系,对于使脊髓中的中央模式发生器充分协调后肢以产生基本的步行节奏至关重要。本文研究了从后肢啮齿动物脊髓的实验数据中提取出来的脊柱后肢中央模式发生器(CPG)的简化计算模型。该模型产生具有类似相位关系的运动样活动,其中左右肌肉群交替,而伸肌和屈肌群交替。但是,这种运动模式的收敛速度很慢,并且模型为之产生适当输出的参数值范围相对较窄。我们通过研究连续更复杂的子网来检查模型左右活动协调性的这些方面,重点是突触体系结构在塑造运动神经元定相中的作用。我们发现单个神经元对刺激的相响应特性具有出乎意料的敏感性,并且需要高水平的抑制和激发来实现步行节奏。在没有跨线刺激的情况下,同等水平的同侧抑制和对侧抑制会导致强烈希望跳动而不是步行。单独抑制可产生行走节奏,但对侧抑制必须比同侧抑制强得多。跨绳兴奋性连接显着增强了步行节奏的收敛性,这是通过强烈的交叉兴奋和对侧抑制大于同侧抑制最快实现的。我们讨论了这些结果对基于单元突发发生器的CPG架构的影响。

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