作者: Allan R. Willms , Dominic Nelson
DOI: 10.1007/S11538-008-9310-9
关键词: Hodgkin–Huxley model 、 Feature (machine learning) 、 Order (biology) 、 Chain (algebraic topology) 、 Statistical physics 、 Mathematics 、 Mathematical optimization 、 Eigenvalues and eigenvectors 、 Model selection 、 State (functional analysis) 、 Ion channel gating
摘要: Multi-state models of ion channel gating have been used extensively, but choosing optimally small yet sufficiently complex to describe particular experimental data remains a difficult task. In order provide some insight into appropriate model selection, this paper presents basic results about the behavior solutions multi-state models, particularly those arranged in chain formation. Some properties eigenvalues and eigenvectors constant-rate are presented. A geometric description three-state is given and, particular, differences between equivalent an Hodgkin-Huxley with identical rates analyzed. One distinguishing feature these two types systems that decay from open state dominated by most negative eigenvalue while rate displays mix modes over all eigenvalues.