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来自热敏区域的信号分类。

Sorting of signals from thermosensitive areas.

作者信息

Fuller C A, Horowitz J M, Horwitz B A

出版信息

Comput Programs Biomed. 1975 Aug;4(4):263-73. doi: 10.1016/0010-468x(75)90040-9.

Abstract

Of the several models proposed for the neural regulation of temperature in cold-exposed animals, two have been previously restated in dynamic form using CSMP. Subsequently, computer simulations have led to the design and execution of experiments for selection of the more appropriate model for cold-exposed rats. These experiments, as described in the present paper, have been interpreted as being consistent with the model which sorts signals from thermosensitive areas and channels the selected signals over separate neural pathways to independently control each mode of heat production. Since this model requires multiplication of neural signals, possible neuronal mechanisms which may underline such multiplication are discussed. In addition, parameter variation to account for febril responses and rate sensitivity have been evaluated.

摘要

在为冷暴露动物的体温神经调节提出的几种模型中,之前已有两种使用连续系统建模程序(CSMP)以动态形式重新阐述。随后,计算机模拟促使了实验的设计与执行,以便为冷暴露大鼠选择更合适的模型。如本文所述,这些实验被解释为与以下模型一致:该模型对来自热敏区域的信号进行分类,并通过独立的神经通路将所选信号引导至各自独立控制每种产热模式。由于该模型需要对神经信号进行乘法运算,因此讨论了可能作为这种乘法运算基础的神经元机制。此外,还评估了用于解释发热反应和速率敏感性的参数变化。

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