Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons
Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons
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DOI：
10.1007/s00422-008-0263-8
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发表时间：
2008-11-01
影响因子：
1.9
通讯作者：
Destexhe, Alain
中科院分区：
文献类型：
--
作者：
Pospischil, Martin;Toledo-Rodriguez, Maria;Destexhe, Alain
我们在此回顾用于网络模拟的大脑皮层和丘脑神经元的 Hodgkin-Huxley (HH) 型模型的开发。通过几种制剂分析了皮质神经元的固有电生理特性，我们选择了四种最突出的神经元电生理类别。这四类是“快速尖峰”、“常规尖峰”、“本质爆发”和“低阈值尖峰”细胞。对于每个类别，我们将“最小”HH 类型模型与实验数据进行拟合。这些模型包含用于解释数据的最小电压相关电流集。为了获得尽可能通用的模型，我们使用了体内和体外不同制剂的数据，例如大鼠体感皮层和丘脑、豚鼠视觉和额叶皮层、雪貂视觉皮层、猫视觉皮层和猫关联皮层。对于两个细胞类别，我们使用应用于多个细胞的自动拟合程序，这揭示了每个类别内细胞间的显着差异。选择此类细胞模型是构建具有真实细胞动力学特性的丘脑皮质系统网络模拟的必要步骤。
We review here the development of Hodgkin-Huxley (HH) type models of cerebral cortex and thalamic neurons for network simulations. The intrinsic electrophysiological properties of cortical neurons were analyzed from several preparations, and we selected the four most prominent electrophysiological classes of neurons. These four classes are "fast spiking", "regular spiking", "intrinsically bursting" and "low-threshold spike" cells. For each class, we fit "minimal" HH type models to experimental data. The models contain the minimal set of voltage-dependent currents to account for the data. To obtain models as generic as possible, we used data from different preparations in vivo and in vitro, such as rat somatosensory cortex and thalamus, guinea-pig visual and frontal cortex, ferret visual cortex, cat visual cortex and cat association cortex. For two cell classes, we used automatic fitting procedures applied to several cells, which revealed substantial cell-to-cell variability within each class. The selection of such cellular models constitutes a necessary step towards building network simulations of the thalamocortical system with realistic cellular dynamical properties.