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Phenomenological Incorporation of Nonlinear Dendritic Integration Using Integrate-and-Fire Neuronal Frameworks
文献类型：期刊论文
| 作者 | Zhang, XH
|
| 刊名 | PLOS ONE
 |
| 出版日期 | 2013 |
| 卷号 | 8期号:1页码:-e53508 |
| 关键词 | NEOCORTICAL PYRAMIDAL NEURONS SHUNTING INHIBITION SUPRALINEAR SUMMATION SPIKING NEURONS MODEL CORTEX CELLS OSCILLATIONS POTENTIALS EXCITATION |
| ISSN号 | 1932-6203 |
| 通讯作者 | Cai, D (reprint author), Shanghai Jiao Tong Univ, Dept Math, MOE LSC, Shanghai 200030, Peoples R China.,sdcai@sjtu.edu.cn |
| 英文摘要 | It has been discovered recently in experiments that the dendritic integration of excitatory glutamatergic inputs and inhibitory GABAergic inputs in hippocampus CA1 pyramidal neurons obeys a simple arithmetic rule as V-S(Exp) approximate to V-E(Exp) + V-I(Exp) + kV(E)(Exp) V-I(Exp), where V-S(Exp), V-E(Exp) and V-I(Exp) are the respective voltage values of the summed somatic potential, the excitatory postsynaptic potential (EPSP) and the inhibitory postsynaptic potential measured at the time when the EPSP reaches its peak value. Moreover, the shunting coefficient k in this rule only depends on the spatial location but not the amplitude of the excitatory or inhibitory input on the dendrite. In this work, we address the theoretical issue of how much the above dendritic integration rule can be accounted for using subthreshold membrane potential dynamics in the soma as characterized by the conductance-based integrate-and-fire (I&F) model. Then, we propose a simple I&F neuron model that incorporates the spatial dependence of the shunting coefficient k by a phenomenological parametrization. Our analytical and numerical results show that this dendritic-integration-rule-based I&F (DIF) model is able to capture many experimental observations and it also yields predictions that can be used to verify the validity of the DIF model experimentally. In addition, the DIF model incorporates the dendritic integration effects dynamically and is applicable to more general situations than those in experiments in which excitatory and inhibitory inputs occur simultaneously in time. Finally, we generalize the DIF neuronal model to incorporate multiple inputs and obtain a similar dendritic integration rule that is consistent with the results obtained by using a realistic neuronal model with multiple compartments. This generalized DIF model can potentially be used to study network dynamics that may involve effects arising from dendritic integrations. |
| 学科主题 | Science & Technology - Other Topics |
| 收录类别 | SCI |
| 资助信息 | Shanghai Pujiang Program [10PJ1406300]; NSFC [11101275]; 973 Program [2011CBA00403]; SA-SIBS Scholarship Program; NSF [DMS-1009575]; Shanghai Jiao Tong University |
| 语种 | 英语 |
| WOS记录号 | WOS:000313429100079 |
| 公开日期 | 2013-06-04 |
| 源URL | [http://ir.sibs.ac.cn/handle/331001/2524]  |
| 专题 | 上海神经科学研究所_神经所(总) |
| 推荐引用方式 GB/T 7714 | Zhang, XH. Phenomenological Incorporation of Nonlinear Dendritic Integration Using Integrate-and-Fire Neuronal Frameworks[J]. PLOS ONE,2013,8(1):-e53508. |
| APA | Zhang, XH.(2013).Phenomenological Incorporation of Nonlinear Dendritic Integration Using Integrate-and-Fire Neuronal Frameworks.PLOS ONE,8(1),-e53508. |
| MLA | Zhang, XH."Phenomenological Incorporation of Nonlinear Dendritic Integration Using Integrate-and-Fire Neuronal Frameworks".PLOS ONE 8.1(2013):-e53508. |
入库方式： OAI收割
来源：上海神经科学研究所
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