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首页> 外文期刊>Biological Cybernetics >Reflexes and preflexes: on the role of sensory feedback on rhythmic patterns in insect locomotion
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Reflexes and preflexes: on the role of sensory feedback on rhythmic patterns in insect locomotion

机译:反射和预弯曲:关于昆虫运动中节律模式的感觉反馈的作用

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摘要

Neuromuscular systems are stabilized and controlled by both feedforward and feedback signals. Feedforward pathways driven by central pattern generators (CPGs), in conjunction with preflexive mechanical reaction forces and nonlinear muscle properties, can produce stable stereotypical gaits. Feedback is nonetheless present in both slow and rapid running, and preflexive mechanisms can join with neural reflexes originating in proprioceptive sensors to yield robust behavior in uncertain environments. Here, we develop a single degree-of-freedom neuromechanical model representing a joint actuated by an agonist/antagonist muscle pair driven by motoneurons and a CPG in a periodic rhythm characteristic of locomotion. We consider two characteristic feedback modes: phasic and tonic. The former encodes states such as position in the timing of individual spikes, while the latter can transmit graded measures of force and other continuous variables as spike rates. We use results from phase reduction and averaging theory to predict phase relationships between CPG and motoneurons in the presence of feedback and compare them with simulations of the neuromechanical model, showing that both phasic and tonic feedback can shift motoneuronal timing and thereby affect joint motions. We find that phase changes in neural activation can cooperate with preflexive displacement and velocity effects on muscle force to compensate for externally applied forces, and that these effects qualitatively match experimental observations in the cockroach.
机译:前馈和反馈信号均能稳定和控制神经肌肉系统。由中央模式发生器(CPG)驱动的前馈路径,结合预弯曲机械反作用力和非线性肌肉特性,可以产生稳定的定型步态。尽管如此,无论是慢速跑步还是快速跑步,都存在反馈,并且前屈机制可以与本体感受传感器产生的神经反射结合在一起,从而在不确定的环境中产生稳健的行为。在这里,我们开发了一个单一自由度的神经力学模型,该模型代表了由运动神经元和CPG驱动的激动剂/拮抗剂肌肉对驱动的关节,其运动规律性为周期性。我们考虑两种特征性的反馈模式:相位和强音。前者对状态进行编码,例如各个峰值的时间位置,而后者则可以将力和其他连续变量的分级度量传输为峰值率。我们使用相减和平均理论的结果来预测在存在反馈的情况下CPG和运动神经元之间的相位关系,并将其与神经力学模型的仿真进行比较,表明相反馈和强直反馈都可以改变运动神经元时机,从而影响关节运动。我们发现神经激活的相变可以与前屈位移和速度对肌肉力的影响相配合,以补偿外力,并且这些作用在质量上与蟑螂的实验结果相符。

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