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首页> 外文期刊>Biological Cybernetics >Combining frequency and time domain approaches to systems with multiple spike train input and output
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Combining frequency and time domain approaches to systems with multiple spike train input and output

机译:具有多个峰值序列输入和输出的系统的频域和时域组合方法

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摘要

A frequency domain approach and a time domain approach have been combined in an investigation of the behaviour of the primary and secondary endings of an isolated muscle spindle in response to the activity of two static fusimotor axons when the parent muscle is held at a fixed length and when it is subjected to random length changes. The frequency domain analysis has an associated error process which provides a measure of how well the input processes can be used to predict the output processes and is also used to specify how the interactions between the recorded processes contribute to this error. Without assuming stationarity of the input, the time domain approach uses a sequence of probability models of increasing complexity in which the number of input processes to the model is progressively increased. This feature of the time domain approach was used to identify a preferred direction of interaction between the processes underlying the generation of the activity of the primary and secondary endings. In the presence of fusimotor activity and dynamic length changes imposed on the muscle, it was shown that the activity of the primary and secondary endings carried different information about the effects of the inputs imposed on the muscle spindle. The results presented in this work emphasise that the analysis of the behaviour of complex systems benefits from a combination of frequency and time domain methods.
机译:频域方法和时域方法已结合在一起,用于对孤立的肌肉纺锤的主要和次要末端的行为进行调查,该行为是当母体肌肉固定在一定长度时,响应于两个静态融合轴突的活动。当它受到随机长度变化时。频域分析具有关联的错误过程,该过程提供了对输入过程可用于预测输出过程的程度的度量,还用于指定记录的过程之间的交互如何导致此错误。在不假设输入具有平稳性的情况下,时域方法使用了一系列复杂度不断增加的概率模型,其中模型的输入过程数逐渐增加。时域方法的此功能用于确定基础和主要结局活动产生的过程之间交互的首选方向。在存在融合运动和施加在肌肉上的动态长度变化的情况下,显示出主要和次要末端的活动带有关于施加在肌肉纺锤上的输入的影响的不同信息。这项工作提出的结果强调,复杂系统行为的分析得益于频域和时域方法的结合。

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