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耳蜗背侧核反应图谱的计算模型

Computational model of response maps in the dorsal cochlear nucleus.

作者信息

Zheng Xiaohan, Voigt Herbert F

机构信息

Department of Biomedical Engineering and Hearing Research Center, Boston University, 44 Cummington Street, Boston, MA 02215-2407, USA.

出版信息

Biol Cybern. 2006 Sep;95(3):233-42. doi: 10.1007/s00422-006-0081-9. Epub 2006 Jul 12.

Abstract

The neurons in the mammalian (gerbil, cat) dorsal cochlear nucleus (DCN) have responses to tones and noise that have been used to classify them into unit types. These types (I-V) are based on excitatory and inhibitory responses to tones organized into plots called response maps (RMs). Type I units show purely excitatory responses, while type V units are primarily inhibited. A computational model of the neural circuitry of the mammalian DCN, based on the MacGregor neuromime, was used to investigate RMs of the principal cells (P-cells) that represent the fusiform and giant cells. In gerbils, fusiform cells have been shown to have primarily type III unit response properties; however, fusiform cells in the cat DCN are thought to have type IV unit response properties. The DCN model is based on a previous computational model of the cat (Hancock and Voigt Ann Biomed Eng 27: 73-87, 1999) and gerbil (Zheng and Voigt Ann Biomed Eng 34: 697-708, 2006) DCN. The basic model for both species is architecturally the same, and to get either type III unit RMs or type IV unit RMs, connection parameters were adjusted. Interestingly, regardless of the RM type, these units in gerbils and cats show spectral notch sensitivity and are thought to play a role in sound localization in the median plane. In this study, further parameter adjustments were made to systematically explore their effect on P-cell RMs. Significantly, type I, type III, type III-i, type IV, type IV-T and type V unit RMs can be created for the modeled P-cells. Thus major RMs observed in the cat and gerbil DCN are recreated by the model. These results suggest that RMs of individual DCN projection neurons are the result of specific assortment of excitatory and inhibitory inputs to that neuron and that subtle differences in the complement of inputs can result in different RM types. Modulation of the efficacy of certain synapses suggests that RM type may change dynamically.

摘要

哺乳动物(沙鼠、猫)的背侧耳蜗核(DCN)中的神经元对音调及噪声会产生反应,这些反应被用于将它们分类为不同的单元类型。这些类型(I-V)基于对音调的兴奋性和抑制性反应,这些反应被组织成称为反应图(RM)的图表。I型单元表现出纯粹的兴奋性反应,而V型单元主要受到抑制。基于MacGregor神经模拟器的哺乳动物DCN神经回路计算模型,被用于研究代表梭形细胞和巨细胞的主细胞(P细胞)的反应图。在沙鼠中,已证明梭形细胞主要具有III型单元反应特性;然而,猫DCN中的梭形细胞被认为具有IV型单元反应特性。该DCN模型基于先前关于猫(Hancock和Voigt,《生物医学工程年报》27: 73-87,1999年)和沙鼠(Zheng和Voigt,《生物医学工程年报》34: 697-708,2006年)DCN的计算模型。两种物种的基本模型在结构上是相同的,为了得到III型单元反应图或IV型单元反应图,对连接参数进行了调整。有趣的是,无论反应图类型如何,沙鼠和猫中的这些单元都表现出频谱陷波敏感性,并且被认为在中平面的声音定位中发挥作用。在本研究中,进一步进行了参数调整,以系统地探索它们对P细胞反应图的影响。值得注意的是,可以为模拟的P细胞创建I型、III型、III-i型、IV型、IV-T型和V型单元反应图。因此,该模型重现了在猫和沙鼠DCN中观察到的主要反应图。这些结果表明,单个DCN投射神经元的反应图是该神经元特定兴奋性和抑制性输入组合的结果,并且输入补充的细微差异可能导致不同的反应图类型。某些突触效能的调节表明反应图类型可能会动态变化。

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