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用于神经同步的现实热力学和统计力学度量。

Realistic thermodynamic and statistical-mechanical measures for neural synchronization.

作者信息

Kim Sang-Yoon, Lim Woochang

机构信息

Research Division, LABASIS Corporation, Chunchon, Gangwon-Do 200-702, Republic of Korea.

Department of Science Education, Daegu National University of Education, Daegu 705-115, Republic of Korea.

出版信息

J Neurosci Methods. 2014 Apr 15;226:161-170. doi: 10.1016/j.jneumeth.2013.12.013. Epub 2014 Jan 30.

Abstract

Synchronized brain rhythms, associated with diverse cognitive functions, have been observed in electrical recordings of brain activity. Neural synchronization may be well described by using the population-averaged global potential VG in computational neuroscience. The time-averaged fluctuation of VG plays the role of a "thermodynamic" order parameter O used for describing the synchrony-asynchrony transition in neural systems. Population spike synchronization may be well visualized in the raster plot of neural spikes. The degree of neural synchronization seen in the raster plot is well measured in terms of a "statistical-mechanical" spike-based measure Ms introduced by considering the occupation and the pacing patterns of spikes. The global potential VG is also used to give a reference global cycle for the calculation of Ms. Hence, VG becomes an important collective quantity because it is associated with calculation of both O and Ms. However, it is practically difficult to directly get VG in real experiments. To overcome this difficulty, instead of VG, we employ the instantaneous population spike rate (IPSR) which can be obtained in experiments, and develop realistic thermodynamic and statistical-mechanical measures, based on IPSR, to make practical characterization of the neural synchronization in both computational and experimental neuroscience. Particularly, more accurate characterization of weak sparse spike synchronization can be achieved in terms of realistic statistical-mechanical IPSR-based measure, in comparison with the conventional measure based on VG.

摘要

在大脑活动的电记录中已观察到与多种认知功能相关的同步脑节律。在计算神经科学中,使用群体平均全局电位VG可以很好地描述神经同步。VG的时间平均波动起到了用于描述神经系统同步 - 异步转变的“热力学”序参量O的作用。群体尖峰同步可以在神经尖峰的光栅图中很好地可视化。通过考虑尖峰的占据和起搏模式引入的基于“统计力学”尖峰的测量Ms,可以很好地测量光栅图中看到的神经同步程度。全局电位VG还用于为Ms的计算提供参考全局周期。因此,VG成为一个重要的集体量,因为它与O和Ms的计算都相关。然而,在实际实验中直接获取VG实际上是困难的。为了克服这个困难,我们不使用VG,而是采用可以在实验中获得的瞬时群体尖峰率(IPSR),并基于IPSR开发现实的热力学和统计力学测量方法,以便在计算神经科学和实验神经科学中对神经同步进行实际表征。特别是,与基于VG的传统测量相比,基于现实的统计力学IPSR测量可以更准确地表征弱稀疏尖峰同步。

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