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用四极管计算尖峰指向性。

Computing spike directivity with tetrodes.

作者信息

Aur Dorian, Connolly Christoper I, Jog Mandar S

机构信息

Department of Clinical Neurological Sciences, Movement Disorders Program, London Health Sciences Centre, 339 Windermere Rd., London, Ont., Canada N6A 5A5.

出版信息

J Neurosci Methods. 2005 Nov 30;149(1):57-63. doi: 10.1016/j.jneumeth.2005.05.006. Epub 2005 Jun 23.

DOI:10.1016/j.jneumeth.2005.05.006
PMID:15978667
Abstract

The ability of neurons to generate electrical signals is strongly dependent on the evolution of ion-specific pumps and channels that allow the transfer of charges under the influence of electric fields and concentration gradients. This paper presents a novel method by which flow of these charge fluxes may be computed to provide directivity of charge movement. Simulations of charge flow as well as actual electrophysiological data recorded by tetrodes are used to demonstrate the method. The propagation of charge fluxes in space in data from simulation and actual recordings during action potential can be analyzed using signals recorded by tetrodes. Variation in spike directivity can be estimated by computing singular value decomposition of the estimated 3D trajectory data. The analysis of the spike model can be accomplished by performing simulations of presumed equivalent moving charges recorded by the tetrode tips. For in vivo spike recordings, the variation of spike directivity could be obtained using several spikes of selected neurons considering the charge movement model (CMM). The relationship between computer simulation results and tetrode data recordings is examined. The paper concludes by showing that the method for calculating directivity in actual spike recordings is robust. The method allows for improved filtering of data and more importantly may shed light on furthering the study of spatio-temporal encoding in neurons.

摘要

神经元产生电信号的能力在很大程度上依赖于离子特异性泵和通道的进化,这些泵和通道能在电场和浓度梯度的影响下实现电荷转移。本文提出了一种新方法,通过该方法可以计算这些电荷通量的流动,以提供电荷移动的方向性。电荷流动的模拟以及由四极管记录的实际电生理数据被用于演示该方法。在动作电位期间,来自模拟和实际记录的数据中电荷通量在空间中的传播可以使用四极管记录的信号进行分析。通过计算估计的三维轨迹数据的奇异值分解,可以估计尖峰方向性的变化。尖峰模型的分析可以通过对四极管尖端记录的假定等效移动电荷进行模拟来完成。对于体内尖峰记录,可以考虑电荷移动模型(CMM),使用选定神经元的多个尖峰来获得尖峰方向性的变化。研究了计算机模拟结果与四极管数据记录之间的关系。本文通过表明在实际尖峰记录中计算方向性的方法是可靠的来得出结论。该方法允许改进数据滤波,更重要的是可能有助于进一步推进神经元时空编码的研究。

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