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Coding of odour intensity in a sensory neuron

机译:感觉神经元的气味强度编码

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摘要

A deterministic biophysical model of an olfactory sensory neuron under constant stimulation is presented with the aim of describing the successive conversion steps, including receptor activation, conductance change, receptor potential and firing frequency, that are involved in the coding of odorant concentration. This model is divided in two parts. The odorant-sensitive part (OSP), consisting of one cylindrical dendrite, is connected to the odorant-insensitive part (OIP), corresponding to passive dendrite, soma and axon. Each part exerts a specific effect on the coding properties of the conversion steps, i.e. their magnitude, sensitivity and dynamic range. The maximum conductance of the OSP affects positively all coding properties whereas the input resistance of the OIP, which depends on its size and shape, affects positively the sensitivity and negatively the dynamic range. These findings are helpful for understanding the input-output properties of many types of neurons.
机译:提出了在持续刺激下嗅觉感觉神经元的确定性生物物理模型,其目的是描述涉及气味剂浓度编码的连续转换步骤,包括受体激活,电导变化,受体电位和激发频率。此模型分为两个部分。由一个圆柱形树枝状晶体组成的对气味敏感的部分(OSP)连接到对气味敏感的部分(OIP),与被动树状体,体细胞和轴突相对应。每个部分都会对转换步骤的编码属性(即幅度,灵敏度和动态范围)产生特定影响。 OSP的最大电导率会正面影响所有编码特性,而OIP的输入电阻(取决于其大小和形状)会正面影响灵敏度,而负面影响动态范围。这些发现有助于理解多种神经元的输入输出特性。

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