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神经元和网络功能中的稳定性建模:活动在稳态中的作用。

Modeling stability in neuron and network function: the role of activity in homeostasis.

作者信息

Marder Eve, Prinz Astrid A

机构信息

Volen Center, Brandeis University, Waltham, MA 02454-9110, USA.

出版信息

Bioessays. 2002 Dec;24(12):1145-54. doi: 10.1002/bies.10185.

Abstract

Individual neurons display characteristic firing patterns determined by the number and kind of ion channels in their membranes. We describe experimental and computational studies that suggest that neurons use activity sensors to regulate the number and kind of ion channels and receptors in their membrane to maintain a stable pattern of activity and to compensate for ongoing processes of degradation, synthesis and insertion of ion channels and receptors. We show that similar neuronal and network outputs can be produced by a number of different combinations of ion channels and synapse strengths. This suggests that individual neurons of the same class may each have found an acceptable solution to a genetically determined pattern of activity, and that networks of neurons in different animals may produce similar output patterns by somewhat variable underlying mechanisms.

摘要

单个神经元表现出由其细胞膜中离子通道的数量和种类所决定的特征性放电模式。我们描述了实验和计算研究,这些研究表明神经元利用活动传感器来调节其细胞膜中离子通道和受体的数量及种类,以维持稳定的活动模式,并补偿离子通道和受体持续的降解、合成及插入过程。我们表明,离子通道和突触强度的多种不同组合可产生相似的神经元及网络输出。这表明同一类别的单个神经元可能各自找到了针对遗传决定的活动模式的可接受解决方案,并且不同动物中的神经元网络可能通过略有不同的潜在机制产生相似的输出模式。

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