Haranas Ioannis, Gkigkitzis Ioannis, Kotsireas Ilias, Austerlitz Carlos
Department of Physics and Computer Science, Wilfrid Laurier University Science Building, 75 University Avenue West, Waterloo, ON, N2L 3C5, Canada.
Department of Mathematics, East Carolina University, 124 Austin Building, East Fifth Street, Greenville, NC, 27858-4353, USA.
Adv Exp Med Biol. 2017;987:35-44. doi: 10.1007/978-3-319-57379-3_4.
Understanding how the brain encodes information and performs computation requires statistical and functional analysis. Given the complexity of the human brain, simple methods that facilitate the interpretation of statistical correlations among different brain regions can be very useful. In this report we introduce a numerical correlation measure that may serve the interpretation of correlational neuronal data, and may assist in the evaluation of different brain states. The description of the dynamical brain system, through a global numerical measure may indicate the presence of an action principle which may facilitate a application of physics principles in the study of the human brain and cognition.
理解大脑如何编码信息并进行计算需要统计和功能分析。鉴于人类大脑的复杂性，有助于解释不同脑区之间统计相关性的简单方法可能非常有用。在本报告中，我们介绍了一种数值相关性度量，它可用于解释相关神经元数据，并有助于评估不同的脑状态。通过全局数值度量对动态脑系统的描述可能表明存在一种作用原理，这可能有助于将物理原理应用于人类大脑和认知的研究。
