Rodrigues Serafim, Chizhov Anton V, Marten Frank, Terry John R
Department of Engineering Mathematics, University of Bristol, Bristol, BS8 1TR, UK.
Biol Cybern. 2010 May;102(5):361-71. doi: 10.1007/s00422-010-0372-z. Epub 2010 Mar 20.
We present two alternative mappings between macroscopic neuronal models and a reduction of a conductance-based model. These provide possible explanations of the relationship between parameters of these two different approaches to modelling neuronal activity. Obtaining a physical interpretation of neural-mass models is of fundamental importance as they could provide direct and accessible tools for use in diagnosing neurological conditions. Detailed consideration of the assumptions required for the validity of each mapping elucidates strengths and weaknesses of each macroscopic model and suggests improvements for future development.
我们展示了宏观神经元模型与基于电导模型的简化之间的两种替代映射。这些映射为这两种不同的神经元活动建模方法的参数之间的关系提供了可能的解释。获得神经质量模型的物理解释至关重要，因为它们可以提供直接且易于使用的工具来诊断神经疾病。对每种映射有效性所需假设的详细考虑阐明了每个宏观模型的优缺点，并为未来发展提出了改进建议。
